Publications

At the Archimedes Research Unit, cutting-edge research is the core of our mission. We push the boundaries of fundamental Machine Learning, Natural Language Processing, Computer Vision, and core Computer Science. Our researchers consistently publish in the field's most competitive, top-tier venues and our work frequently stands out, earning prestigious recognition through Orals, Spotlights, and Best Paper awards.

Abbreviations
AAAI
AAAI Conference on Artificial Intelligence
AAMAS
International Conference on Autonomous Agents and Multiagent Systems
ABAW
Workshop on Affective Behavior Analysis in-the-wild
ACL
Annual Meeting of the Association for Computational Linguistics
ACM
Association for Computing Machinery
ACNS
International Conference on Applied Cryptography and Network Security
ACTEA
International Conference on Advances in Computational Tools for Engineering Applications
AI
Artificial Intelligence
AIMG
Workshop on AI Music Generation
AISTATS
International Conference on Artificial Intelligence and Statistics
AmericasNLP
Workshop on NLP for Indigenous Languages of the Americas
ASRU
IEEE Automatic Speech Recognition and Understanding Workshop
BabyLM
BabyLM Challenge / Workshop on Sample-Efficient Pretraining
Baltic-HLT
Baltic Conference on Human Language Technologies
BEA
Workshop on Innovative Use of NLP for Building Educational Applications
BeyondFacts
Workshop co-located with The Web Conference (WWW)
BIAS
Workshop on Bias and Fairness in AI
BIBE
IEEE International Conference on Bioinformatics and Bioengineering
BigData
IEEE International Conference on Big Data
BioNLP
Workshop on Biomedical Natural Language Processing
BMVC
British Machine Vision Conference
CAA
Computer Applications and Quantitative Methods in Archaeology Conference
CDC
IEEE Conference on Decision and Control
CL4Health
Workshop co-located with LREC
CLEF
Conference and Labs of the Evaluation Forum
ClimateNLP
Workshop on Natural Language Processing Meets Climate Change
COLING
International Conference on Computational Linguistics
COLT
Conference on Learning Theory
COPA
Symposium on Conformal and Probabilistic Prediction with Applications
COSYNE
Computational and Systems Neuroscience Conference
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition
DDECS
IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems
DialRes
Workshop co-located with LREC
DocEng
ACM Symposium on Document Engineering
EACL
Conference of the European Chapter of the Association for Computational Linguistics
EC
ACM Conference on Economics and Computation
ECAI
European Conference on Artificial Intelligence
ECCV
European Conference on Computer Vision
ECML PKDD
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECR
European Congress of Radiology
EDBT
International Conference on Extending Database Technology
EEITE
IEEE International Conference in Electronic Engineering & Information Technology
EICC
European Interdisciplinary Cybersecurity Conference
EKAW
International Conference on Knowledge Engineering and Knowledge Management
EMNLP
Conference on Empirical Methods in Natural Language Processing
ESA
European Symposium on Algorithms
ETLTC
International Conference on Educational Technology, Language and Technical Communication
ETRA
ACM Symposium on Eye Tracking Research and Applications
EUMAS
European Conference on Multi-Agent Systems
Eurographics
Annual Conference of the European Association for Computer Graphics
EuroMLSys
European Workshop on Machine Learning and Systems
EUSIPCO
European Signal Processing Conference
EWAF
European Workshop on Algorithmic Fairness
FAIEMA
International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications
FAIR
Workshop on Fairness in AI
FinLLMs
Financial Challenges in Large Language Models (shared task)
FinNLP
Workshop on Financial Technology and Natural Language Processing
FinNLP-AgentScen
Joint Workshop on Financial Technology and NLP (FinNLP) and Agent AI for Scenario Planning (AgentScen)
FOCS
IEEE Symposium on Foundations of Computer Science
ForgtAI
Workshop on Forgetting and Machine Unlearning in AI
GenAI
Generative Artificial Intelligence
GeoAI
ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
Humanoids
IEEE-RAS International Conference on Humanoid Robots
IC2AI
International Conference on Control, Automation, and Instrumentation
ICABME
International Conference on Advances in Biomedical Engineering
ICALP
International Colloquium on Automata, Languages and Programming
ICASSP
IEEE International Conference on Acoustics, Speech and Signal Processing
ICCV
IEEE/CVF International Conference on Computer Vision
ICDAR
International Conference on Document Analysis and Recognition
ICDE
IEEE International Conference on Data Engineering
ICDM
IEEE International Conference on Data Mining
ICDT
International Conference on Database Theory
ICECS
IEEE International Conference on Electronics, Circuits and Systems
ICLR
International Conference on Learning Representations
ICM
International Conference on Microelectronics
ICML
International Conference on Machine Learning
IEEE
Institute of Electrical and Electronics Engineers
IJCAI
International Joint Conference on Artificial Intelligence
IJCNN
International Joint Conference on Neural Networks
IMCET
IEEE International Multidisciplinary Conference on Engineering Technology
Integrity
Workshop on Integrity in Social Networks and Media
Interspeech
Annual Conference of the International Speech Communication Association
IPCO
Conference on Integer Programming and Combinatorial Optimization
ISAAC
International Symposium on Algorithms and Computation
ISBI
IEEE International Symposium on Biomedical Imaging
IWOCA
International Workshop on Combinatorial Algorithms
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KR
International Conference on Principles of Knowledge Representation and Reasoning
LaTeCH-CLfL
Joint Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
LLM
Large Language Model
LNCS
Lecture Notes in Computer Science
LREC
Language Resources and Evaluation Conference
LREC-COLING
Joint International Conference on Language Resources and Evaluation and Computational Linguistics
LTEDI
Workshop on Language Technology for Equality, Diversity and Inclusion
MARINE
International Conference on Computational Methods in Marine Engineering
MDM
IEEE International Conference on Mobile Data Management
MECO
Mediterranean Conference on Embedded Computing
MGDLT
International Conference on Modern Greek Dialects and Linguistic Theory
MIART
Medical Image Artificial Intelligence for Radiotherapy
MICCAI
International Conference on Medical Image Computing and Computer Assisted Intervention
MIDL
Medical Imaging with Deep Learning
ML
Machine Learning
ML4AL
Workshop on Machine Learning for Ancient Languages
MOCAST
International Conference on Modern Circuits and Systems Technologies
MRL
Workshop on Multilingual Representation Learning
MWE
Workshop on Multiword Expressions
NAACL
Conference of the North American Chapter of the Association for Computational Linguistics
NeLaMKRR
Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning
NeurIPS
Conference on Neural Information Processing Systems
NeurReps
Workshop on Symmetry and Geometry in Neural Representations
NEWCAS
IEEE International New Circuits and Systems Conference
NLLP
Natural Legal Language Processing Workshop
NLP
Natural Language Processing
NLP4MusA
Workshop on Natural Language Processing for Music and Audio
NoDaLiDa
Nordic Conference on Computational Linguistics
Odyssey
The Speaker and Language Recognition Workshop
PKC
International Conference on Practice and Theory of Public-Key Cryptography
PMLR
Proceedings of Machine Learning Research
PRIME
Conference on Ph.D. Research in Microelectronics and Electronics
PVLDB
Proceedings of the VLDB Endowment
RegNLP
Workshop on Regulatory Natural Language Processing
RIRAG
Regulatory Information Retrieval and Answer Generation (shared task)
SAGT
International Symposium on Algorithmic Game Theory
SECRYPT
International Conference on Security and Cryptography
SemEval
International Workshop on Semantic Evaluation
SETN
Hellenic Conference on Artificial Intelligence
SIAM
Society for Industrial and Applied Mathematics
SIGDIAL
Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGIR
International ACM SIGIR Conference on Research and Development in Information Retrieval
SIGMOD
ACM SIGMOD International Conference on Management of Data
SIGSPATIAL
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
SMACD
International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design
SOCC
IEEE International System-on-Chip Conference
SoCG
International Symposium on Computational Geometry
SODA
ACM-SIAM Symposium on Discrete Algorithms
SOFSEM
International Conference on Current Trends in Theory and Practice of Computer Science
SPAWC
IEEE International Workshop on Signal Processing Advances in Wireless Communications
STACS
International Symposium on Theoretical Aspects of Computer Science
STOC
ACM Symposium on Theory of Computing
TAMC
International Conference on Theory and Applications of Models of Computation
TMLR
Transactions on Machine Learning Research
UAI
Conference on Uncertainty in Artificial Intelligence
UncertaiNLP
Workshop on Uncertainty-Aware Natural Language Processing
UniDive
Universality, Diversity and Idiosyncrasy in Language Technology (European research network)
VarDial
Workshop on NLP for Similar Languages, Varieties and Dialects
VLSI
Very Large Scale Integration
WACV
IEEE/CVF Winter Conference on Applications of Computer Vision
WCCI
IEEE World Congress on Computational Intelligence
WiCV
Women in Computer Vision Workshop
WINE
International Conference on Web and Internet Economics
WISE
International Conference on Web Information Systems Engineering
WOAH
Workshop on Online Abuse and Harms
WSDM
ACM International Conference on Web Search and Data Mining
WWW
The Web Conference
XAI
World Conference on Explainable Artificial Intelligence

Browse by research area: Machine Learning Foundations · Algorithms, Game Theory, Multi-Agent Learning and Optimization · Natural Language Processing · Computer Vision and Robotics · Data Science and Engineering · AI in Health · AI in Law and Financial Technology · Responsible AI · Miscellaneous

Research Impact

527
Publications
12
Orals
11
Spotlights
9
Best Papers

Papers at top-tier venues (main conference; workshops excluded)

NeurIPS50
EMNLP18
ICML15
ECCV10
AAAI9
ICLR9
ACL7
Nature journals6
CVPR5
EC5
IJCAI4
COLT4
SODA3
ICCV2
STOC1
FOCS1


Machine Learning Foundations

  1. N. Tsikouras, Y. Pantis, I. Mitliagkas, C. Tzamos. A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond. ICLR, 2026.
  2. S. Hedayatian, S. Nikolaidis. AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization. ICLR, 2026.
  3. A. Chatzipapadopoulou, S. Toumpis, J. Pavlopoulos. ConfBatch: Conformal Prediction for Adaptive Batch Sizing. Symposium on Conformal and Probabilistic Prediction with Applications (COPA), PMLR 329, pp. 1090–1092, Mölndal, Sweden, September 2026.
  4. B. Tjanaka, H. Chen, M. Fontaine, S. Nikolaidis. Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces. ICLR, 2026. (Oral)
  5. I. Lytras, A. Ntousis. Error estimates for tamed Euler and Randomized Euler schemes for SDEs with locally Lipschitz drift with applications to non-logconcave sampling and optimization. arXiv preprint, 2026.
  6. A. D. Demou, P. Koromilas, J. Oldfield, Y. Panagakis, M. A. Nicolaou. fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery. NeurIPS, 2026. (Spotlight)
  7. D. Ravikumar, E. Soufleri, A. Hashemi, K. Roy. Memorization Through the Lens of Sample Gradients. ICLR, 2026.
  8. P. Koromilas, T. Giannakopoulos, M. A. Nicolaou, Y. Panagakis. Neural Collapse by Design: Learning Class Prototypes on the Hypersphere. ICML, 2026.
  9. A. Barakat, A. Kontogiannis, V. Pollatos, I. Panageas, A. Varvitsiotis. Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback. NeurIPS, 2026.
  10. P. Koromilas, A. D. Demou, J. Oldfield, Y. Panagakis, M. A. Nicolaou. PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding. ICML, 2026.
  11. S. Hedayatian, S. Nikolaidis. Soft Quality-Diversity Optimization. ICLR, 2026.
  12. E. Turan, A. Siozopoulos, L. Martinez, J. Gaubil, E. Pierson, M. Ovsjanikov. Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization. ICML, 2026.
  13. M. Krutský, G. Šír, V. Kungurtsev, G. Korpas. Binarizing Physics-Inspired GNNs for Combinatorial Optimization. ECAI, 2025.
  14. I. Lytras, P. Mertikopoulos. Contractive kinetic Langevin samplers beyond global Lipschitz continuity. arXiv preprint, 2025.
  15. P. Rytir, A. Wodecki, G. Korpas, J. Marecek. ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations. Transactions on Machine Learning Research (TMLR), 2025.
  16. V. Kouni, Y. Panagakis. Generalization analysis of an unfolding network for analysis-based compressed sensing. Applied and Computational Harmonic Analysis, 2025.
  17. T. G. Tsironis, A. L. Moustakas. Landscape complexity for the empirical risk of generalized linear models: Discrimination between structured data. Physical Review E, 2025.
  18. I. Diakonikolas, M. Ma, L. Ren, C. Tzamos. Learning Intersections of Two Margin Halfspaces under Factorizable Distributions. COLT, 2025.
  19. K. Karatapanis, V. Kontonis, C. Tzamos. Oracle Efficient Truncated Statistics. ICLR, 2025.
  20. D. Kelesis, D. Fotakis, G. Paliouras. Partially trained graph convolutional networks resist oversmoothing. Machine Learning, 2025.
  21. D. Kelesis, D. Fotakis, G. Paliouras. Reducing oversmoothing through informed weight initialization in graph neural networks. Applied Intelligence, 2025.
  22. I. Diakonikolas, M. Ma, L. Ren, C. Tzamos. Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise. ICML, 2025. (Oral)
  23. I. Lytras, P. Mertikopoulos. Tamed Langevin sampling under weaker conditions. AISTATS, 2025.
  24. T. R. Johnston, N. Makras, S. Sabanis. Taming the Interacting Particle Langevin Algorithm: The Superlinear case. Applied Mathematics & Optimization, 2025.
  25. I. Lytras, S. Sabanis. Taming under isoperimetry. Stochastic Processes and their Applications, 2025.
  26. P. Giannoulis, Y. Pantis, C. Tzamos. Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error. NeurIPS, 2025.
  27. J. Yan, Y. Luo, V. Chatziafratis, I. Panageas, P. Shahkar, S. Stavroulakis. The Complexity of Finding Local Optima in Contrastive Learning. NeurIPS, 2025.
  28. V. Kontonis, M. Ma, C. Tzamos. Active Classification with Few Queries under Misspecification. NeurIPS, 2024. (Spotlight)
  29. V. Kontonis, M. Ma, C. Tzamos. Active Learning with Simple Questions. COLT, 2024.
  30. P. Koromilas, G. Bouritsas, T. Giannakopoulos, M. A. Nicolaou, Y. Panagakis. Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. ICML, 2024. [Additional source]
  31. I. Diakonikolas, M. Ma, L. Ren, C. Tzamos. Fast Co-Training under Weak Dependence via Stream-Based Active Learning. ICML, 2024. (Oral)
  32. T. G. Tsironis, A. L. Moustakas. Finite-Size Correction and Variance of the Mutual Information of Random Linear Estimation with non-Gaussian Priors: A Replica-Calculation. Physical Review E, 2024.
  33. C. Daskalakis, N. Golowich. Is Efficient PAC Learning Possible with an Oracle That Responds “Yes” or “No”?. COLT, 2024.
  34. C. Guille-Escuret, H. Naganuma, K. Fatras, I. Mitliagkas. No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths. ICML, 2024.
  35. C. Caramanis, N. Tsikouras, C. Tzamos. Optimization Can Learn Johnson Lindenstrauss Embeddings. NeurIPS, 2024.
  36. I. Kalogeropoulos, G. Bouritsas, Y. Panagakis. Scale Equivariant Graph Metanetworks. NeurIPS, 2024. (Oral)
  37. A. Kontogiannis, V. Pollatos, S. Kanellopoulos, P. Mertikopoulos, A. Pagourtzis, I. Panageas. The Computational Complexity of Finding Second-Order Stationary Points. ICML, 2024.
  38. C. Caramanis, D. Fotakis, A. Kalavasis, V. Kontonis, C. Tzamos. Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. NeurIPS, 2023. (Oral)

Algorithms, Game Theory, Multi-Agent Learning and Optimization

  1. G. Farina, A. Kontogiannis, I. Panageas, V. Pollatos. The Complexity of Computing Coarse Correlated Equilibria in Markov Games with a Single Controller. SODA, 2027.
  2. V. Christoforidis. A Note on EFX Inapproximability for Chores. arXiv preprint, 2026.
  3. A. Kalavas, C. Platanos, T. Tolias. A Polylogarithmic Competitive Algorithm for Stochastic Online Sorting and TSP. STACS, 2026.
  4. I. Caragiannis, D. Fotakis, S. Skoulakis. A Unified Framework for Uniform-Price Resource Allocation Mechanisms. arXiv preprint, 2026.
  5. I. Caragiannis, N. Protopapas. Allocating Resources Among Non-cooperative Agents with Leontief Utilities. EUMAS, 2026.
  6. L. Georgiadis, E. Kipouridis, E. Kosinas, C. Papadopoulos, N. Parotsidis. Computing the (k+2)-Edge-Connected Components in k-Edge-Connected Digraphs in Subquadratic Time. ICALP, 2026.
  7. A. Deligkas, M. Fasoulakis, S. D. Ioannidis, A. Mancho, E. Markakis. Delegated Fair Division. arXiv preprint, 2026.
  8. E. Markakis, C. Santorinaios. Do Not Discretize, Optimize: Almost Greedy Fictitious Play. IJCAI, 2026.
  9. M. Fasoulakis, E. Markakis, I. Panageas, C. Santorinaios, J. Yan. Efficient Computation and Best-Response Dynamics in Anonymous Two-Action Games with Linear Utilities. NeurIPS, 2026.
  10. A. Kontogiannis, V. Pollatos, P. Mertikopoulos, I. Panageas. Efficient Swap Regret Minimization in Combinatorial Bandits. AISTATS, 2026.
  11. T. Lianeas, A. Sgouritsa, M. M. Sotiriou. EFX Allocation in (Multi)Hypergraphs. AAAI, 2026.
  12. G. Amanatidis, G. Birmpas, R. Reiffenhäuser. Envy Cycle Elimination with Strategic Agents: Best Responses and Fairness Guarantees. arXiv preprint, 2026.
  13. G. Christodoulou, A. Fiat, E. Koutsoupias, A. Sgouritsa. Envy-Freeness up to Any Good Allocations on Graphs. Mathematics of Operations Research, 2026.
  14. G. Christodoulou, S. Mastrakoulis. Exact and Approximate Maximin Share Allocations in Multi-Graphs. AAAI, 2026.
  15. T. Lin, P. Mertikopoulos, M. I. Jordan. Explicit Second-Order Min-Max Optimization: Practical Algorithms and Complexity Analysis. Transactions on Machine Learning Research (TMLR), 2026.
  16. S. Kanellopoulos. Finite Pinwheel Covering. arXiv preprint, 2026.
  17. S. Kanellopoulos, C. Pergaminelis, M. Kokkou, E. Markou, A. Pagourtzis. Finite Pinwheel Scheduling: the k-Visits Problem. SODA, 2026. [Additional source]
  18. S. Kanellopoulos, G. Mitropoulos, C. Pergaminelis, T. Tolias. Hardness, Tractability and Density Thresholds of Finite Pinwheel Scheduling Variants. ICALP, 2026.
  19. G. Amanatidis, A. Korfiati, E. Markakis, C. Santorinaios. Improved Approximation Guarantees for Groupwise Maximin Share Fairness. SAGT, 2026.
  20. M. Fasoulakis, E. Markakis, G. Roussakis, C. Santorinaios. Improved Last-iterate Convergence Properties for the FLBR-MWU Dynamics. arXiv preprint, 2026.
  21. G. Christodoulou, V. Christoforidis, A. Sgouritsa, I. Vlachos. Improving the Price of Anarchy via Predictions in Parallel-Link Networks. WWW, 2026.
  22. G. Christodoulou, V. Christoforidis, A. Sgouritsa, I. Vlachos. Learning-Augmented Coordination Mechanisms. NeurIPS, 2026.
  23. E. Markakis, M. Samaris. Leveraging Matchings in Constrained Fair Division with a Conflict Graph. arXiv preprint, 2026.
  24. N. Tsikouras, C. Caramanis, C. Tzamos. MaxSketch: Robust Distinct Counting in Streams via Random Projections. NeurIPS, 2026. (Oral)
  25. G. Amanatidis, E. Anshelevich, C. Jerrett, A. A. Voudouris. Metric distortion under group-fair objectives. Autonomous Agents and Multi-Agent Systems, 2026.
  26. A. Driemel, J. Höckendorff, I. Psarros, C. Sohler, D. Yue. Near Linear Time Approximation Schemes for Clustering of Partially Doubling Metrics. ICALP, 2026.
  27. T. Melissourgos, N. Protopapas. Online EFX Allocations with Predictions. AAMAS, 2026.
  28. G. Amanatidis, G. Giaconi, E. Markakis, N. Protopapas. Online Fair Division Meets Reordering Buffers. NeurIPS, 2026. (Spotlight)
  29. C. Platanos, T. Tolias. Online Sorting with Our Eyes Wide Shut. arXiv preprint, 2026.
  30. V. Apidopoulos, C. Molinari, J. Peypouquet, S. Villa. Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates. Nonlinear Analysis: Hybrid Systems, 2026.
  31. D. Fotakis, L. Gourvès, A. Pagourtzis, P. Patsilinakos. Removable Online Knapsack: Exploiting Recourse and Bounded Item Sizes. International Workshop on Combinatorial Algorithms (IWOCA), 2026.
  32. A. Charalampopoulos, D. Fotakis, T. Tolias. Repeated Descent: A Framework for Online Budget-Feasible Auctions. arXiv preprint, 2026.
  33. D. Balla, P. Chaidos. Revisiting Linkable Ring Signatures with Logarithmic Verification Complexity. PKC, 2026.
  34. A. Kalavas, I. Psarros. Space-Efficient Approximate Spherical Range Counting in High Dimensions. SoCG, 2026.
  35. L. Cioni, S. Kanellopoulos, E. Nemery, A. Pagourtzis, C. Pergaminelis, M. Vasilakis. Temporal Path Covers: Dilworth Properties and Parameterized Complexity. arXiv preprint, 2026.
  36. G. Christodoulou, E. Koutsoupias, A. Kovács, I. Vlachos. The Communication Complexity of Combinatorial Auctions in Graphs. STACS, 2026.
  37. E. Balkanski, J. Chatzitheodorou, D. Fotakis, T. Tolias. The Knapsack Secretary Problem is Strictly Harder Than the Secretary Problem. arXiv preprint, 2026.
  38. A. Driemel, J. Höckendorff, I. Psarros, C. Sohler. Time Series Decomposition Using the Fréchet Distance. ESA, 2026.
  39. E. Bampis, B. Escoffier, D. Fotakis, G. Mitropoulos, M. Xefteris. What to Predict for Efficient Scheduling on Parallel Machines. NeurIPS, 2026.
  40. J. Lazarsfeld, A. Barakat, G. Piliouras, A. Varvitsiotis, A. Wibisono. When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation. arXiv preprint, 2026.
  41. A. Charalampopoulos, D. Fotakis, P. Patsilinakos, T. Tolias. A Competitive Posted-Price Mechanism for Online Budget-Feasible Auctions. EC, 2025.
  42. M. Fasoulakis, E. Markakis, G. Roussakis, C. Santorinaios. A Descent-based Method on the Duality Gap for Solving Zero-sum Games. IJCAI, 2025.
  43. D. Fotakis, A. Kalavas, I. Psarros. A Query-Driven Approach to Space-Efficient Range Searching. arXiv preprint, 2025.
  44. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, R. Reiffenhäuser. Algorithmically Fair Maximization of Multiple Submodular Objective Functions. AAMAS, 2025.
  45. G. Papadopoulos, A. Kontogiannis, F. Papadopoulou, C. Poulianou, I. Koumentis, G. Vouros. An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks. AAMAS, 2025.
  46. E. Kosinas. An Optimal 3-Fault-Tolerant Connectivity Oracle. ICALP, 2025.
  47. S. Kanellopoulos, G. Mitropoulos, A. Antonopoulos, N. Leonardos, A. Pagourtzis, C. Pergaminelis, S. Petsalakis, K. Tsitouras. Approximation Schemes for k-Subset Sum Ratio and k-Way Number Partitioning Ratio. ISAAC, 2025.
  48. G. Papadoulis, D. Balla, P. Grontas, A. Pagourtzis. AQQUA: Augmenting Quisquis with Auditability. ACNS, 2025.
  49. K. Bringmann, N. Fischer, V. Nakos. Beating Bellman's Algorithm for Subset Sum. SODA, 2025.
  50. A. Antoniadis, A. Cristi, T. Oosterwijk, A. Sgouritsa. Competitive mechanisms for energy-efficient cloud computing. Theoretical Computer Science, 2025.
  51. S. Kanellopoulos, E. Nemery, C. Pergaminelis, M. M. Sotiriou, M. Vasilakis. EF(X) Orientations: A Parameterized Complexity Perspective. arXiv preprint, 2025.
  52. A. Ashuri, V. Gkatzelis, A. Sgouritsa. EF2X Exists For Four Agents. AAAI, 2025. (Oral)
  53. A. Kontogiannis, V. Pollatos, G. Farina, P. Mertikopoulos, I. Panageas. Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games. NeurIPS, 2025.
  54. A. Kontogiannis, K. Papathanasiou, Y. Shen, G. Stamou, M. Zavlanos, G. Vouros. Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration. ICML, 2025.
  55. G. Christodoulou, V. Christoforidis. Fair and Truthful Allocations Under Leveled Valuations. Information Processing Letters, 2025.
  56. S. Gollapudi, K. Kollias, A. Sgouritsa, A. K. Sinop. Fairness and Optimality in Routing. AAMAS, 2025.
  57. A. Mancho, E. Markakis, N. Protopapas. Fairness Under Equal-Sized Bundles: Impossibility Results and Approximation Guarantees. SAGT, 2025.
  58. D. Fotakis, E. Gergatsouli, T. Gouleakis, N. Patris, T. Tolias. Improved Bounds for Online Facility Location with Predictions. AAAI, 2025. (Oral)
  59. V. Apidopoulos, T. Poggio, L. Rosasco, S. Villa. Iterative regularization in classification via hinge loss diagonal descent. Inverse Problems, 2025.
  60. W. Lin, G. Piliouras, R. Sim, A. Varvitsiotis. Learning in Quantum Common-Interest Games and the Separability Problem. Quantum, 2025.
  61. K. Bérczi, V. Livanos, J. A. Soto, V. Verdugo. Matroid Secretary via Labeling Schemes. IPCO, 2025.
  62. G. Christodoulou, V. Christoforidis, S. Mastrakoulis, A. Sgouritsa. Maximin Share Guarantees for Few Agents with Subadditive Valuations. IJCAI, 2025.
  63. K. Lotidis, P. Mertikopoulos, N. Bambos, J. Blanchet. Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration. NeurIPS, 2025. (Spotlight)
  64. V. Pollatos, D. Mandal, G. Radanovic. On corruption-robustness in performative reinforcement learning. AAAI, 2025. (Oral)
  65. E. Markakis, G. Papasotiropoulos. On the complexity of winner determination and strategic control in conditional approval voting. Theoretical Computer Science, 2025.
  66. D. Fotakis, L. Gourvès, P. Patsilinakos. On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries. AAAI, 2025. (Oral)
  67. A. Sgouritsa, M. M. Sotiriou. On the Existence of EFX Allocations in Multigraphs. AAMAS, 2025 (Extended Abstract).
  68. G. Christodoulou, E. Koutsoupias, A. Kovács. On the Nisan–Ronen Conjecture for Submodular Valuations. SIAM Journal on Computing, 2025.
  69. G. Amanatidis, M. Lampis, E. Markakis, G. Papasotiropoulos. On the Tractability Landscape of the Conditional Minisum Approval Voting Rule. Information Processing Letters, 2025.
  70. G. Amanatidis, E. Markakis, C. Santorinaios, G. Schäfer, P. Tsamopoulos, A. Tsikiridis. Online Budget-Feasible Mechanism Design with Predictions. SAGT, 2025.
  71. G. Amanatidis, A. Lolos, E. Markakis, V. Turmel. Online Fair Division for Personalized 2-Value Instances. SAGT, 2025.
  72. G. Amanatidis, B. Berger, T. Ezra, M. Feldman, F. Fusco, R. Reiffenhäuser, A. Tsikiridis. Pandora's box problem with time constraints. Artificial Intelligence, 2025.
  73. E. Bampis, B. Escoffier, D. Fotakis, P. Patsilinakos, M. Xefteris. Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems. ICML, 2025.
  74. E. Balkanski, N. DeFilippis, V. Gkatzelis, X. Tan. Procurement Auctions with Predictions: Improved Frugality for Facility Location. NeurIPS, 2025.
  75. K. Lotidis, P. Mertikopoulos, N. Bambos, J. Blanchet. Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness. NeurIPS, 2025.
  76. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, R. Reiffenhäuser. Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria. Mathematics of Operations Research, 2025 (online 2024; journal version).
  77. L. Gourvès, M. Lampis, N. Melissinos, A. Pagourtzis. Satisfactory Budget Division. AAMAS, 2025 (Extended Abstract).
  78. G. Amanatidis, F. Fusco, P. Lazos, S. Leonardi, A. Marchetti-Spaccamela, R. Reiffenhäuser. Submodular maximization subject to a knapsack constraint: Combinatorial algorithms with near-optimal adaptive complexity. Theoretical Computer Science, 2025.
  79. J. Hou, Y. S. Soh, A. Varvitsiotis. The Lovász Theta Function for Recovering Planted Clique Covers and Graph Colorings. SIAM Journal on Optimization, 2025.
  80. G. Christodoulou, E. Koutsoupias, A. Kovács. Truthful Allocation in Graphs and Hypergraphs. ACM Transactions on Economics and Computation, 2025.
  81. P. Grontas, A. Pagourtzis, M. Spyrakou. Voting with coercion resistance and everlasting privacy using linkable ring signatures. SECRYPT, 2025.
  82. N. Fischer, V. Nakos. ℓ2/ℓ2 Sparse Recovery via Weighted Hypergraph Peeling. FOCS, 2025.
  83. D. Legacci, P. Mertikopoulos, B. S. R. Pradelski. A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights. ICML, 2024. (Spotlight)
  84. C. Daskalakis, G. Farina, N. Golowich, T. Sandholm, B. H. Zhang. A lower bound on swap regret in extensive-form games. arXiv preprint, 2024.
  85. K. Lotidis, A. Giannou, P. Mertikopoulos, N. Bambos. Accelerated Regularized Learning in Finite N-Person Games. NeurIPS, 2024.
  86. G. Amanatidis, G. Birmpas, F. Fusco, P. Lazos, S. Leonardi, R. Reiffenhäuser. Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. Mathematics of Operations Research, 2024.
  87. G. Christodoulou, A. Sgouritsa. An Improved Upper Bound for the Universal TSP on the Grid. SIAM Journal on Computing, 2024.
  88. G. Amanatidis, P. Kleer. Approximately Sampling and Counting Graphs with Near-Regular Degree Intervals. SIAM Journal on Discrete Mathematics, 2024.
  89. G. Alonistiotis, A. Antonopoulos, N. Melissinos, A. Pagourtzis, S. Petsalakis, M. Vasilakis. Approximating Subset Sum Ratio via Partition Computations. Acta Informatica, 2024.
  90. I. Sakos, S. Leonardos, S. Stavroulakis, W. Overman, I. Panageas, G. Piliouras. Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. ICLR, 2024.
  91. J. Dai, B. Flanigan, N. Haghtalab, M. Jagadeesan, C. Podimata. Can Probabilistic Feedback Drive User Impacts in Online Platforms?. AISTATS, 2024.
  92. C. Daskalakis, I. Gemp, Y. Jiang, R. P. Leme, C. H. Papadimitriou, G. Piliouras. Charting the Shapes of Stories with Game Theory. NeurIPS, 2024 (Creative AI Track).
  93. N. Patris, S. Stavroulakis, F. Kalogiannis, R. Zhang, I. Panageas. Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. AAAI, 2024.
  94. G. Amanatidis, G. Birmpas, A. Filos-Ratsikas, A. A. Voudouris. Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond. SIAM Journal on Discrete Mathematics, 2024.
  95. Y. C. Ong, N. Protopapas, V. Yazdanpanah, E. H. Gerding, S. Stein. Fair and efficient ride-scheduling: a preference-driven approach. Journal of Simulation, 2024.
  96. J. Conradi, B. Kolbe, I. Psarros, D. Rohde. Fast Approximations and Coresets for (k,𝓁)-Median Under Dynamic Time Warping. SoCG, 2024.
  97. N. Ananthakrishnan, N. Haghtalab, C. Podimata, K. Yang. Is knowledge power? On the (im)possibility of learning from strategic interactions. NeurIPS, 2024.
  98. V. Kungurtsev, G. Korpas, J. Marecek, E. Y. Zhu. Iteration Complexity of Variational Quantum Algorithms. Quantum, 2024.
  99. T. R. Johnston, I. Lytras, S. Sabanis. Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case. Journal of Complexity, 2024.
  100. Y. Feng, P. Li, I. Panageas, X. Wang. Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. UAI, 2024.
  101. F. Kalogiannis, J. Yan, I. Panageas. Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem. NeurIPS, 2024.
  102. N. Patris, I. Panageas. Learning Nash Equilibria in Rank-1 Games: Going beyond the Minty Property. ICLR, 2024.
  103. G. Christodoulou, A. Sgouritsa, I. Vlachos. Mechanism Design augmented with output advice. NeurIPS, 2024. (Spotlight)
  104. P. Mertikopoulos, W. H. Sandholm. Nested replicator dynamics, nested logit choice, and similarity-based learning. Journal of Economic Theory, 2024.
  105. D. Legacci, P. Mertikopoulos, C. H. Papadimitriou, G. Piliouras, B. S. R. Pradelski. No-Regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests. NeurIPS, 2024. (Spotlight)
  106. G. Amanatidis, A. Filos-Ratsikas, P. Lazos, E. Markakis, G. Papasotiropoulos. On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes. AAMAS, 2024.
  107. E. Bakali, A. Chalki, S. Kanellopoulos, A. Pagourtzis, S. Zachos. On the Power of Counting the Total Number of Computation Paths of NPTMs. TAMC, 2024.
  108. V. Christoforidis, C. Santorinaios. On The Pursuit of EFX for Chores: Non-Existence and Approximations. IJCAI, 2024.
  109. N. Protopapas, V. Yazdanpanah, E. H. Gerding, S. Stein. Online Decentralised Mechanisms for Dynamic Ridesharing. AAMAS, 2024.
  110. I. Anagnostides, I. Panageas, G. Farina, T. Sandholm. Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property. AAAI, 2024.
  111. G. Amanatidis, F. Fusco, R. Reiffenhäuser, A. Tsikiridis. Pandora's Box Problem Over Time. WINE, 2024.
  112. K. Khosravi, R. P. Leme, C. Podimata, A. Tsorvantzis. Preferences Evolve and so Should Your Bandits: Bandits with Evolving States for Online Platforms. EC, 2024.
  113. G. Amanatidis, A. Filos-Ratsikas, A. Sgouritsa. Pushing the Frontier on Approximate EFX Allocations. EC, 2024.
  114. I. Psarros, D. Rohde. Random projections for curves in high dimensions. Discrete & Computational Geometry, 2024.
  115. L. Gourvès, A. Pagourtzis. Removable Online Knapsack with Bounded Size Items. SOFSEM, 2024.
  116. W. Azizian, F. Iutzeler, J. Malick, P. Mertikopoulos. The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness. SIAM Journal on Optimization, 2024.
  117. I. Caragiannis, G. Christodoulou, N. Protopapas. Truthful aggregation of budget proposals with proportionality guarantees. Artificial Intelligence, 2024. [Additional source]
  118. W. Azizian, F. Iutzeler, J. Malick, P. Mertikopoulos. What is the long-run distribution of stochastic gradient descent? A large deviations analysis. ICML, 2024.
  119. G. Christodoulou, E. Koutsoupias, A. Kovács. A Proof of the Nisan-Ronen Conjecture. STOC, 2023.
  120. G. Christodoulou, E. Koutsoupias, A. Kovács. A Proof of the Nisan-Ronen Conjecture — An Overview. ACM SIGecom Exchanges, 2023.
  121. N. Haghtalab, C. Podimata, K. Yang. Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. NeurIPS, 2023. (Spotlight)
  122. I. Sakos, E. V. Vlatakis-Gkaragkounis, P. Mertikopoulos, G. Piliouras. Exploiting Hidden Structures in Non-convex Games for Convergence to Nash Equilibrium. NeurIPS, 2023.
  123. G. Christodoulou, A. Fiat, E. Koutsoupias, A. Sgouritsa. Fair Allocation in Graphs. EC, 2023.
  124. I. Caragiannis, G. Christodoulou, N. Protopapas. Impartial Selection with Prior Information. WWW, 2023.
  125. E. Markakis, C. Santorinaios. Improved EFX Approximation Guarantees under Ordinal-based Assumptions. AAMAS, 2023.
  126. A. Assos, I. Attias, Y. Dagan, C. Daskalakis, M. Fishelson. Online Learning and Solving Infinite Games with an ERM Oracle. COLT, 2023.
  127. G. Amanatidis, S. Klumper, E. Markakis, G. Schäfer, A. Tsikiridis. Partial Allocations in Budget-Feasible Mechanism Design: Bridging Multiple Levels of Service and Divisible Agents. WINE, 2023.
  128. K. Lotidis, P. Mertikopoulos, N. Bambos, J. Blanchet. Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games. NeurIPS, 2023.
  129. Y.-P. Hsieh, M. R. K. Jaghargh, A. Krause, P. Mertikopoulos. Riemannian Stochastic Optimization Methods Avoid Strict Saddle Points. NeurIPS, 2023.
  130. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, R. Reiffenhäuser. Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria. EC, 2023 (conference version).
  131. K. Harris, C. Podimata, S. Z. Wu. Strategic Apple Tasting. NeurIPS, 2023.
  132. K. Lotidis, P. Mertikopoulos, N. Bambos. The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games. CDC, 2023.

Natural Language Processing

  1. S. Bompolas, N. Chousou-Polydouri, M. Genitsaridi, D. Karatzanou, G. Kostopoulos, E. Anagnostopoulou, D. Melissaropoulou. A CLDF-Compliant Lexical Database for Modern Greek Dialects: Resource Design and Dialectometric Analysis. Workshop on Dialects in NLP — A Resource Perspective (DialRes) — LREC, 2026.
  2. D. Tsirmpas, J. Pavlopoulos. Are we chasing ghosts? Quantifying unattributable polarization, and attributing the rest to annotator groups. arXiv preprint, 2026.
  3. I. Tzachristas, J. Pavlopoulos. Aristotelian Virtue Profiling of LLMs through Ethical Dilemmas. arXiv preprint, 2026.
  4. L. Mošner, D. Koutsianos, T. Stafylakis. Beyond CosFace: Analysing Sparsity-Inducing Losses in Speaker Verification. The Speaker and Language Recognition Workshop (Odyssey), 2026.
  5. I. Prokopiou, P. Vikatos, M. Kaliakatsos-Papakostas, T. Giannakopoulos, T. Stafylakis. Closing the Loop: PID Feedback Control for Interpretable Activation Steering in Symbolic Music Generation. Workshop Learning to Listen: Machine Learning for Audio — ICML, 2026.
  6. N. Nikolaidis, K. Kovacikova, I. Androutsopoulos. Cross-lingual Clustering of News Stories using Embeddings-based Community Detection. EMNLP, 2026.
  7. D. Tsirmpas, I. Androutsopoulos, J. Pavlopoulos. Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation. arXiv preprint, 2026 (first posted 2025).
  8. G. Kaoukis, I.-A. Koufopoulos, E. Psaroudaki, D. P. Karidi, E. Pitoura, G. Papastefanatos, P. Tsaparas. EmeraldApp: An AI-Driven Tool for Detecting Greenwashing in Sustainability Claims. Workshop BeyondFacts — WWW, 2026. (Best Paper Award)
  9. G. Kaoukis, I.-A. Koufopoulos, E. Psaroudaki, D. P. Karidi, E. Pitoura, G. Papastefanatos, P. Tsaparas. EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing Detection. WWW, 2026.
  10. V. Stamou, S. Armostis, A. Klimi, G. Paraskevopoulos, V. Katsouros, A. Anastasopoulos. First Steps in ASR for Cypriot Greek: Challenges and Insights. Workshop on Dialects in NLP — A Resource Perspective (DialRes) — LREC, 2026.
  11. M. A. Roussopoulou, S. Markantonatou. From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs. Workshop on Language Technology for Equality, Diversity and Inclusion (LTEDI) — ACL, 2026.
  12. M.-A. Roussopoulou, E. Di Palma, A. M. Wizani, P. Osenova, A. Ollagnier, V. Stamou, A. Di Fabio, V. Basile, S. Markantonatou. HurtNet: A Multilingual Dictionary of Hurtful Words. Workshop on Online Abuse and Harms (WOAH) — EMNLP, 2026, Budapest, Hungary (accepted for publication).
  13. J. Peng, L. Zhang, J. Han, O. Plchot, J. Rohdin, T. Stafylakis, S. Wang, J. Černocký. Hybrid Pruning: In-Situ Compression of Self-Supervised Speech Models for Speaker Verification and Anti-Spoofing. ICASSP, 2026.
  14. A. Kantharuban, A. Srivastava, F. Faisal, O. Ahia, A. Anastasopoulos, D. Chiang, Y. Tsvetkov, G. Neubig. IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation. arXiv preprint, 2026.
  15. I. Prokopiou, I. Sina, A. Kounelis, P. Vikatos, T. Stafylakis. LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance. Workshop on NLP for Music and Audio (NLP4MusA) — EACL, 2026.
  16. I. Prokopiou, P. Vikatos, M. Kaliakatsos-Papakostas, T. Giannakopoulos, T. Stafylakis. Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation. EUSIPCO, 2026.
  17. J. Pavlopoulos, S. Barbakos, L. Ferretti, D. Voulgarakis, A. Paparrigopoulou, M. Konstantinidou, G. De Gregorio, I. Marthot-Santaniello, P. Platanou, H. Essler. Learning Diachronic Representations of Ancient Greek Letterforms. ICDAR, 2026.
  18. D. Koutsianos, L. Mošner, Y. Panagakis, T. Stafylakis. Sparsity-Inducing Divergence Losses for Biometric Verification. ECCV, 2026.
  19. S. Bompolas, E. Pinna, J. Quer, M. Lekakou, S. Markantonatou. Structural Divergence under Shared Language-Level Specification: Griko in Universal Dependencies. Workshop on Dialects in NLP — A Resource Perspective (DialRes) — LREC, 2026.
  20. D. Christou, G. Tsoumakas. Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction. arXiv preprint, 2026.
  21. E. Psarra, K. Stefanidis, C. Panagiotou. Text Similarity-based Industrial Dataset Reuse Detection using Sentence Transformer Models under Controlled Perturbations. MECO, 2026.
  22. O. S. Chlapanis, O. Menis Mastromichalakis, C. H. Papadimitriou. The Grounding Gap: How LLMs Anchor the Meaning of Abstract Concepts Differently from Humans. NeurIPS, 2026.
  23. D. Tsirmpas, K. Korre, J. Pavlopoulos. To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions. arXiv preprint, 2026.
  24. J. Bakagianni, K. Pouli, M. Gavriilidou, J. Pavlopoulos. A systematic survey of natural language processing for the Greek language. Patterns, 2025.
  25. D. Christou, G. Tsoumakas. Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains. Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) — NAACL, 2025.
  26. I. Chasandras, O. S. Chlapanis, I. Androutsopoulos. AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?. Workshop on Regulatory NLP (RegNLP) — COLING, 2025 (RIRAG shared task).
  27. V. Dorovatas, G. Paraskevopoulos, A. Potamianos. Auto-Compressing Networks. NeurIPS, 2025. (Oral)
  28. C. Vlachos, N. Stylianou, A. Fiotaki, S. Methenitis, E. Palogiannidi, T. Stafylakis, I. Androutsopoulos. Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User Questions. SIGDIAL, 2025.
  29. J. Peng, L. Mošner, L. Zhang, O. Plchot, T. Stafylakis, L. Burget, J. Černocký. CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. ICASSP, 2025.
  30. E.-O. Gardelakos, V. Kyriakopoulos, D.-A. Pantazi, O.-M. Kapopoulos, M. Tsourma, M. Koubarakis. Can Large Reasoning Models Reason about Spatial Relations?. Workshop on AI for Geographic Knowledge Discovery (GeoAI) — ACM SIGSPATIAL, 2025.
  31. Z. Liu, P. Thompson, J. Rong, S. Ananiadou. ConspEmoLLM-v2: A Robust and Stable Model to Detect Sentiment-Transformed Conspiracy Theories. ECAI, 2025.
  32. S. S. Akter, S. Hunter, D. J. Woo, A. Anastasopoulos. Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans. Workshop on Innovative Use of NLP for Building Educational Applications (BEA) — ACL, 2025.
  33. A. Dimakis, J. Pavlopoulos, A. Anastasopoulos. Dialect Normalization using Large Language Models and Morphological Rules. Findings of ACL, 2025.
  34. F. Faisal, Md. M. Rahman, A. Anastasopoulos. Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties. Findings of EMNLP, 2025.
  35. S. Vakirtzian, V. Stamou, Y. Kazos, S. Markantonatou. Dialectal treebanks and their relation with the standard variety: The case of East Cretan and Standard Modern Greek. NoDaLiDa/Baltic-HLT, 2025.
  36. M. Kaliakatsos-Papakostas, D. Makris, K. Soiledis, K.-T. Tsamis, V. Katsouros, E. Cambouropoulos. Diffusion-Inspired Masked Language Modeling for Symbolic Harmony Generation on a Fixed Time Grid. Applied Sciences, 2025.
  37. E. Soufleri, S. Ananiadou. Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals. Workshop on Biomedical Language Processing (BioNLP) — ACL, 2025.
  38. K. Korre, D. Tsirmpas, N. Gkoumas, E. Cabalé, D. Myrtzani, T. Evgeniou, I. Androutsopoulos, J. Pavlopoulos. Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey. EMNLP, 2025.
  39. Y. Li, M. Wang, M. De Carvalho, S. Sabanis, T. Ma. FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval. Findings of EMNLP, 2025.
  40. J. Bakagianni, K. Randl, G. Rocchietti, C. Rulli, F. M. Nardini, A. Henriksson, S. Trani, A. Romanova, J. Pavlopoulos. FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis. Findings of EMNLP, 2025.
  41. L. Loukas, N. Smyrnioudis, C. Dikonomaki, S. Barbakos, A. Toumazatos, J. Koutsikakis, M. Kyriakakis, M. Georgiou, S. Vassos, J. Pavlopoulos, I. Androutsopoulos. GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek. COLING, 2025 (System Demonstrations).
  42. S. Markantonatou, V. Stamou, S. Bompolas, K. Anastasopoulou, Y. Kazos. GUD: A new Modern Greek treebank enriched with VMWE annotations. UniDive General Meeting, 2025 (abstract).
  43. M. Kaliakatsos-Papakostas, D. Makris, K. Soiledis, K.-T. Tsamis, V. Katsouros, E. Cambouropoulos. HarmonyTok: Comparing Methods for Harmony Tokenization for Machine Learning. Information, 16(9), 759, 2025.
  44. P. Kaliosis, J. Pavlopoulos. Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition. Findings of EMNLP, 2025.
  45. J. Hus, A. Anastasopoulos, N. Krasner. Machine Translation Using Grammar Materials for LLM Post-Correction. Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) — NAACL, 2025.
  46. D. Kosmopoulou, E. Georgiou, V. Dorovatas, G. Paraskevopoulos, A. Potamianos. Masked Diffusion Language Models with Frequency-Informed Training. BabyLM Workshop — EMNLP, 2025. (Challenge Award)
  47. K. Randl, J. Pavlopoulos, A. Henriksson, T. Lindgren. Mind the gap: from plausible to valid self-explanations in large language models. Machine Learning, 2025.
  48. A. Gerontopoulos, S. Gidaris, N. Komodakis. Multi-Token Prediction Needs Registers. NeurIPS, 2025.
  49. D. N. Jakobi, M. Stegenwallner-Schütz, N. Hollenstein, C. Ding, R. Kasperė, A. Matić, E. Pavlinušić Vilus, S. L. Frank, M.-L. Müller, K. M. Jensen de López, N. Kharlamov, H. B. S. Knudsen, Y. Berzak, E. Lion, I. A. Sekerina, C. Acartürk, M. F. Ansari, K. Harężlak, P. Kasprowski, A. M. Bautista, L. Beinborn, A. T. Bondar, A. Boznou, L. Bradshaw, J. Hofmann, T. Krosness, N. B. Soliva, A. Çepani, K. Cergol, A. Došen, M. Palmović, A. Çerpja, D. Chirino, J. Chromý, V. Demberg, I. Škrjanec, N. Dinçtopal Deniz, I. Fajardo, M. Giménez-Salvador, X. Mínguez López, M. Filip, Z. Freibergs, J. Gomes, A. Janeiro, P. Luegi, J. Veríssimo, S. Gramatikov, J. Hasenäcker, A. Haveriku, N. Kote, M. Kamal, H. Kędzierska, D. Klimek-Jankowska, S. Košutar, D. G. Krakowczyk, I. Krejtz, M. Łockiewicz, K. Lõo, J. Motiejūnienė, J. A. Nasir, J. Nedergaard, A. Özkan, M. Preininger, L. Pungă, D. R. Reich, C. Tschirner, Š. Rot, A. Säuberli, J. Solé-Casals, E. Strati, I. Svoboda, E. Trandafili, S. Varlokosta, M. Vulchanova, L. A. Jäger. MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus. ETRA, 2025.
  50. A. Evaggelatos, K. Palaiologos, B. Gatos, P. Kaddas, A. Christopoulou, V. Katsouros. Old Greek OCR Result Correction Using LLMs. DocEng, 2025.
  51. M. Wang, S. Sabanis, M. De Carvalho, S. B. Cohen, T. Ma. One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning. Findings of EMNLP, 2025.
  52. A. Nentidis, G. Katsimpras, A. Krithara, M. Krallinger, M. Rodríguez-Ortega, E. Rodriguez-López, N. Loukachevitch, A. Sakhovskiy, E. Tutubalina, D. Dimitriadis, G. Tsoumakas, G. Giannakoulas, A. Bekiaridou, A. Samaras, G. M. Di Nunzio, N. Ferro, S. Marchesin, M. Martinelli, G. Silvello, G. Paliouras. Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. CLEF, 2025.
  53. M. Kaliakatsos-Papakostas, D. Makris, K. Soiledis, K.-T. Tsamis, V. Katsouros, E. Cambouropoulos. Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization. Workshop on AI Music Generation (AIMG) — IEEE BigData, 2025.
  54. X. Peng, T. Papadopoulos, E. Soufleri, P. Giannouris, R. Xiang, Y. Wang, L. Qian, J. Huang, Q. Xie, S. Ananiadou. Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance. EMNLP, 2025. [Additional source]
  55. N. Nikolaidis, N. Stefanovitch, P. Silvano, D. Dimitrov, R. Yangarber, N. Guimarães, E. Sartori, I. Androutsopoulos, P. Nakov, G. Da San Martino, J. Piskorski. PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles. ACL, 2025.
  56. K. Yang, Z. Liu, Q. Xie, J. Huang, E. Min, S. Ananiadou. Selective Preference Optimization via Token-Level Reward Function Estimation. EMNLP, 2025.
  57. S. Barahona, L. Mošner, T. Stafylakis, O. Plchot, J. Peng, L. Burget, J. Černocký. State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2025.
  58. V. Barbu Mititelu, V. Giouli, G. Korvel, C. Liebeskind, I. Lobzhanidze, R. Makhachashvili, S. Markantonatou, A. Marković, I. Stoyanova. Survey on Lexical Resources Focused on Multiword Expressions for the Purposes of NLP. Workshop on Multiword Expressions (MWE) — NAACL, 2025.
  59. D. Koutsianos, S. Zacharopoulos, Y. Panagakis, T. Stafylakis. Synthetic Speech Source Tracing using Metric Learning. Interspeech, 2025.
  60. F. Faisal, A. Anastasopoulos. Testing the Boundaries of LLMs: Dialectal and Language-Variety Tasks. Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) — COLING, 2025.
  61. E. Partalidou, T. Passali, C. Zerva, G. Tsoumakas, S. Ananiadou. Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach. Workshop on Uncertainty-Aware NLP (UncertaiNLP) — EMNLP, 2025.
  62. S. Bompolas, D. Melissaropoulou. Understanding Dialectal Variation in Contact Scenarios Through Dialectometry: Insights from Inner Asia Minor Greek. Languages, 2025.
  63. S. Markantonatou, V. Stamou, S. Bompolas, K. Anastasopoulou, I. Linardaki Vasileiadi, K. Diamantopoulos, Y. Kazos, A. Anastasopoulos. VMWE identification with models trained on GUD (a UDv.2 treebank of Standard Modern Greek). Workshop on Multiword Expressions (MWE) — NAACL, 2025.
  64. P. Kaliosis, J. Pavlopoulos, F. Charalampakos, G. Moschovis, I. Androutsopoulos. A data-driven guided decoding mechanism for diagnostic captioning. Findings of ACL, 2024.
  65. O. S. Chlapanis, I. Androutsopoulos, D. Galanis. Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure. Workshop on Semantic Evaluation (SemEval) — NAACL, 2024.
  66. M. Samprovalaki, A. Chatzipapadopoulou, G. Moschovis, F. Charalampakos, P. Kaliosis, J. Pavlopoulos, I. Androutsopoulos. AUEB NLP Group at ImageCLEFmedical Caption 2024. CLEF Working Notes — ImageCLEFmedical Caption, 2024.
  67. J. Hus, A. Anastasopoulos. Back to School: Translation Using Grammar Books. EMNLP, 2024.
  68. C. Raj, A. Mukherjee, A. Caliskan, A. Anastasopoulos, Z. Zhu. BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. Findings of EMNLP, 2024.
  69. S. Blouir, J. T. H. Smith, A. Anastasopoulos, A. Shehu. Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives. EMNLP, 2024.
  70. J. Pavlopoulos, V. Kougia, E. G. Arias, P. Platanou, S. Shabalin, K. Liagkou, E. Papadatos, H. Essler, J.-B. Camps, F. Fischer. Challenging Error Correction in Recognised Byzantine Greek. Workshop on Machine Learning for Ancient Languages (ML4AL) — ACL, 2024.
  71. Md. M. Ibn Alam, S. Ahmadi, A. Anastasopoulos. CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation. Findings of EACL, 2024.
  72. C. Vlachos, T. Stafylakis, I. Androutsopoulos. Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems. Findings of ACL, 2024.
  73. Z. Liu, B. Liu, P. Thompson, K. Yang, S. Ananiadou. ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. ECAI, 2024.
  74. S. Bompolas. Creating a UD treebank for a low-resourced Modern Greek dialect: The case of Lesbian. UniDive Training School, 2024.
  75. S. Markantonatou, S. Bompolas, C. Tsoukala, S. Vakirtzian, V. Stamou, A. Ralli, A. Anastasopoulos. Dialect-aware modelling for Modern Greek. MGDLT 10, 2024.
  76. F. Faisal, O. Ahia, A. Srivastava, K. Ahuja, D. Chiang, Y. Tsvetkov, A. Anastasopoulos. DialectBench: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. ACL, 2024. (Best Social Impact Paper Award)
  77. A. Dimakis, S. Markantonatou, A. Anastasopoulos. Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages. Findings of ACL, 2024.
  78. V. Lislevand, J. Pavlopoulos, K. Dritsa, P. Louridas. Estimating the Emotion of Disgust in Greek Parliament Records. Workshop on Online Abuse and Harms (WOAH) — NAACL, 2024.
  79. K. Randl, J. Pavlopoulos, A. Henriksson, T. Lindgren. Evaluating the Reliability of Self-Explanations in Large Language Models. Discovery Science, 2024.
  80. J. Pavlopoulos, M. Konstantinidou, E. Perdiki, I. Marthot-Santaniello, H. Essler, G. Vardakas, A. Likas. Explainable dating of greek papyri images. Machine Learning, 2024.
  81. Z. Luo, Q. Xie, S. Ananiadou. Factual consistency evaluation of summarisation in the Era of large language models. Expert Systems with Applications, 2024.
  82. Q. Xie, J. Huang, D. Li, Z. Chen, R. Xiang, M. Xiao, Y. Yu, V. Somasundaram, K. Yang, C. Yuan, Z. Luo, Z. Liu, Y. He, Y. Jiang, H. Li, D. Feng, X.-Y. Liu, B. Wang, H. Wang, Y. Lai, J. Suchow, A. Lopez-Lira, M. Peng, S. Ananiadou. FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models — FinLLMs. Joint Workshop on Financial Technology and Natural Language Processing and Agent AI for Scenario Planning (FinNLP-AgentScen) — IJCAI, 2024 (FinLLMs shared task).
  83. P. Fayyazsanavi, A. Anastasopoulos, J. Košecká. Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing. Findings of EMNLP, 2024.
  84. J. Pavlopoulos, R. Sandell, M. Konstantinidou, C. Bozzone. HoLM: Analyzing Linguistic Unexpectedness in Homeric Poetry. LREC-COLING, 2024.
  85. M. Plitsis, T. Kouzelis, G. Paraskevopoulos, V. Katsouros, Y. Panagakis. Investigating Personalization Methods in Text to Music Generation. ICASSP, 2024. [Additional source]
  86. S. Ahmadi, D. Jaff, Md. M. Ibn Alam, A. Anastasopoulos. Language and Speech Technology for Central Kurdish Varieties. LREC-COLING, 2024.
  87. O. S. Chlapanis, D. Galanis, I. Androutsopoulos. LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights. Workshop on Natural Legal Language Processing (NLLP) — EMNLP, 2024.
  88. T. Kefalas, Y. Panagakis, M. Pantić. Large-Scale Unsupervised Audio Pre-Training for Video-to-Speech Synthesis. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.
  89. K. Skianis, A. S. Doğruöz, J. Pavlopoulos. Leveraging LLMs for Translating and Classifying Mental Health Data. Workshop on Multilingual Representation Learning (MRL) — EMNLP, 2024.
  90. J. Pavlopoulos, A. Likas. Polarized Opinion Detection Improves the Detection of Toxic Language. EACL, 2024.
  91. N. Gkouti, P. Malakasiotis, S. Toumpis, I. Androutsopoulos. Should I Try Multiple Optimizers when Fine-tuning Pre-trained Transformers for NLP tasks? Should I Tune their Hyperparameters?. EACL, 2024.
  92. S. Vakirtzian, C. Tsoukala, S. Bompolas, K. Mouzou, V. Stamou, G. Paraskevopoulos, A. Dimakis, S. Markantonatou, A. Ralli, A. Anastasopoulos. Speech Recognition for Greek Dialects: A Challenging Benchmark. Interspeech, 2024.
  93. A. Toumazatos, J. Pavlopoulos, I. Androutsopoulos, S. Vassos. Still all Greeklish to me: Greeklish to Greek Transliteration. LREC-COLING, 2024.
  94. T. Zhang, K. Yang, S. Ji, B. Liu, Q. Xie, S. Ananiadou. SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. SIGIR, 2024.
  95. S. Markantonatou, V. Stamou, C. Christodoulou, G. Apostolopoulou, A. Balas, G. Ioannakis. The Corpus AIKIA: Using Ranking Annotation for Offensive Language Detection in Modern Greek. LREC-COLING, 2024.
  96. A. S. Choi, S. S. Akter, J. P. Singh, A. Anastasopoulos. The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?. EMNLP, 2024.
  97. J. Pavlopoulos, P. Louridas, P. Filos. Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs. EMNLP, 2024.
  98. A. Poulis, E. Tsalapati, M. Koubarakis. Transformer-based Language Models for Reasoning in the Description Logic ALCQ. Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR) — KR, 2024.
  99. A. Poulis, E. Tsalapati, M. Koubarakis. Transformers in the Service of Description Logic-based Contexts. EKAW, 2024.
  100. M. Fore, S. Singh, C. Lee, A. Pandey, A. Anastasopoulos, D. Stamoulis. Unlearning Climate Misinformation in Large Language Models. Workshop on Natural Language Processing Meets Climate Change (ClimateNLP) — ACL, 2024.
  101. I. Stogiannidis, S. Vassos, P. Malakasiotis, I. Androutsopoulos. Cache me if you Can: an Online Cost-aware Teacher-Student Framework to Reduce the Calls to Large Language Models. Findings of EMNLP, 2023.

Computer Vision and Robotics

  1. A. Zamanos, F. L. Kyrilis, P. Koromilas, P. L. Kastritis, Y. Panagakis. A 37-million-particle dataset from over 250 experiments to accelerate data-driven cryo-EM analysis. bioRxiv preprint, 2026.
  2. K. Perizes, V. Alimisis, G. F. Fragulis. A Chaos-Theoretic Framework for Autonomous Robot Navigation in Complex and Uncertain Environments. ETLTC, 2026.
  3. P. Koletsis, V. Efthymiou, M. Vakalopoulou, N. Komodakis, A. Doulamis, G. Th. Papadopoulos. A High-Level Survey of Optical Remote Sensing. EEITE, 2026.
  4. B. Psomas, D. Christopoulos, E. Baltzi, I. Kakogeorgiou, T. Aravanis, N. Komodakis, K. Karantzalos, Y. Avrithis, G. Tolias. Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency. ICLR, 2026.
  5. T. Kouzelis, S. Gidaris, N. Komodakis. Coevolving Representations in Joint Image-Feature Diffusion. ECCV, 2026.
  6. A. Gkillas, N. Pipergikos, A. Lalos, D.-V. Nguyen. Conditional Deep Unrolling for LiDAR Super-Resolution and Improved Segmentation: An End-to-End Solution. IEEE Transactions on Artificial Intelligence, 2026.
  7. V. Sevetlidis, V. Arampatzakis, M. Karta, I. Mourthos, D. Tsiafaki, G. Pavlidis. Detecting Media Clones in Cultural Repositories Using a Positive Unlabeled Learning Approach. CAA, 2026.
  8. M. Plitsis, T. Kouzelis, P. Koromilas, V. Katsouros, M. A. Nicolaou, Y. Panagakis. Disentangling Local and Global Semantics in Diffusion Models for Image Editing. International Journal of Computer Vision, 2026.
  9. S. Georgiou, A. Psiris, S. Evangelatos, T. Lagkas, V. Argyriou, P. Sarigiannidis, I. Varlamis, G. Th. Papadopoulos. Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions. arXiv preprint, 2026.
  10. K. Foteinos, G. Angelidis, A. Psiris, V. Argyriou, P. Sarigiannidis, G. Th. Papadopoulos. FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations. EEITE, 2026.
  11. H. G. Theodoropoulou, V. Zafeiropoulos, Z. Lygizou, M. Zervas, D. Kalles, C. Kiourt. From Real-World Images to Agent-Based Crowd Simulations: An End-to-End Pipeline. AAMAS, 2026.
  12. A. Psiris, Y. Panagakis, M. Vakalopoulou, G. Th. Papadopoulos. GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection. NeurIPS, 2026.
  13. D. Apostolakis, G. Angelidis, V. Argyriou, P. Sarigiannidis, G. Th. Papadopoulos. Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response. EEITE, 2026.
  14. C. Maikos, G. Angelidis, G. Th. Papadopoulos. Large-scale Photorealistic Outdoor 3D Scene Reconstruction from UAV Imagery Using Gaussian Splatting Techniques. EEITE, 2026.
  15. R. Zhang, H. Su, K. Daniilidis, Z. Wang. Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras. ECCV, 2026.
  16. P. Rigas, G. Ioannakis, I. Z. Emiris. Neural Approximation of Generalized Voronoi Diagrams. Eurographics, 2026 (Poster).
  17. A. Michailidou, G. Angelidis, V. Argyriou, P. Sarigiannidis, G. Th. Papadopoulos. Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding. EEITE, 2026.
  18. T. Aravanis, V. Stojnić, B. Psomas, N. Komodakis, G. Tolias. Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?. CVPR, 2026. (Highlight) (Best Oral Presentation, Greeks in AI 2026)
  19. V. Vasileiou, P. Filntisis, P. Maragos, K. Daniilidis. VGGT-HPE: Reframing Head Pose Estimation as Relative Pose Prediction. Workshop on Affective Behavior Analysis in-the-wild (ABAW) — CVPR, 2026.
  20. E. Tsiatsianas, C. Kiourt, K. Chatzilygeroudis. A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning. Humanoids, 2025.
  21. G. Mentzelopoulos, I. Asmanis, K. Kording, E. L. Dyer, K. Daniilidis, F. Vitale. A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks. NeurIPS, 2025.
  22. E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis. Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. CVPR, 2025.
  23. I. Tsikelis, E. Tsiatsianas, C. Kiourt, S. Ivaldi, K. Chatzilygeroudis, E. Mingo Hoffman. AHMP: Agile Humanoid Motion Planning with Contact Sequence Discovery. Humanoids, 2025.
  24. T. Kouzelis, E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis. Boosting Generative Image Modeling via Joint Image-Feature Synthesis. NeurIPS, 2025. (Spotlight)
  25. L. Mou, J. Lei, C. Wang, L. Liu, K. Daniilidis. DIMO: Diverse 3D Motion Generation for Arbitrary Objects. ICCV, 2025.
  26. E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis. DINO-Foresight: Looking into the Future with DINO. NeurIPS, 2025.
  27. T. Kouzelis, I. Kakogeorgiou, S. Gidaris, N. Komodakis. EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling. ICML, 2025.
  28. E. Nerantzis, L. Malletzidou, E. Kyratzopoulou, N. C. Tsirliganis, N. A. Kazakis. From Contemporary Datasets to Cultural Heritage Performance: Explainability and Energy Profiling of Visual Models Towards Textile Identification. Heritage, 2025.
  29. P. Rigas, P. Drivas, C. Tzamos, I. Chamodrakas, G. Ioannakis, L. J. Guibas, I. Z. Emiris. GARLIC: GAussian Representation LearnIng for spaCe partitioning. arXiv preprint, 2025.
  30. D. Ravikumar, E. Soufleri, K. Roy. Improved Out-of-Distribution Detection with Additive Angular Margin Loss. Women in Computer Vision Workshop (WiCV) — CVPR, 2025.
  31. M. S. Lystbæk, M. J. Beliatis, A. Giannakidis. Low-resource GAN-stack for high-resolution floor plan generation with enhanced evaluation and contextual validation. Journal of Building Engineering, 2025.
  32. W. Jiang, B. Lei, K. Ashton, K. Daniilidis. Multimodal LLM Guided Exploration and Active Mapping Using Fisher Information. ICCV, 2025.
  33. D. Shopkhoev, A. Ali, M. Zhussip, V. Malykh, S. Lefkimmiatis, N. Komodakis, S. Zagoruyko. ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization. NeurIPS, 2025.
  34. A. Zamanos, P. Koromilas, G. Bouritsas, P. L. Kastritis, Y. Panagakis. Self-supervised learning for generalizable particle picking in cryo-EM micrographs. Cell Reports Methods, 2025.
  35. D. Totsila, K. Chatzilygeroudis, V. Modugno, D. Hadjivelichkov, D. Kanoulas. Sensorimotor Learning With Stability Guarantees via Autonomous Neural Dynamic Policies. IEEE Robotics and Automation Letters, 2025.
  36. D. C. H. Tan, D. Chanin, A. Lynch, B. Paige, D. Kanoulas, A. Garriga-Alonso, R. Kirk. Analysing the Generalisation and Reliability of Steering Vectors. NeurIPS, 2024.
  37. S. Aegidius, R. Chacón Quesada, A. M. Delfaki, D. Kanoulas, Y. Demiris. ASFM: Augmented Social Force Model for Legged Robot Social Navigation. Humanoids, 2024.
  38. T. Melistas, N. Spyrou, N. Gkouti, P. Sanchez, A. Vlontzos, Y. Panagakis, G. Papanastasiou, S. A. Tsaftaris. Benchmarking Counterfactual Image Generation. NeurIPS, 2024 (Datasets and Benchmarks Track).
  39. S. Pertigkiozoglou, E. Chatzipantazis, K. Daniilidis. BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration. Workshop on Symmetry and Geometry in Neural Representations (NeurReps) — NeurIPS, 2024.
  40. J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras. Bilinear models of parts and appearances in generative adversarial networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
  41. G. Daras, A. G. Dimakis, C. Daskalakis. Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. ICML, 2024.
  42. A. Kratimenos, J. Lei, K. Daniilidis. DynMF: Neural Motion Factorization for Real-Time Dynamic View Synthesis with 3D Gaussian Splatting. ECCV, 2024.
  43. T. Kouzelis, M. Plitsis, M. A. Nicolaou, Y. Panagakis. Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. BMVC, 2024.
  44. C. Guille-Escuret, P. Noel, I. Mitliagkas, D. Vazquez, J. Monteiro. Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. NeurIPS, 2024 (Datasets and Benchmarks Track).
  45. W. Jiang, B. Lei, K. Daniilidis. FisherRF: Active View Selection and Mapping with Radiance Fields Using Fisher Information. ECCV, 2024. (Oral)
  46. J. Lei, Y. Wang, G. Pavlakos, L. Liu, K. Daniilidis. GART: Gaussian Articulated Template Models. CVPR, 2024. (Highlight)
  47. S. Pertigkiozoglou, E. Chatzipantazis, S. Trivedi, K. Daniilidis. Improving Equivariant Model Training via Constraint Relaxation. NeurIPS, 2024.
  48. G. Kourmouli, N. Kostagiolas, Y. Panagakis, M. A. Nicolaou. Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs. IEEE Geoscience and Remote Sensing Letters, 2024.
  49. S. Gidaris, A. Bursuc, O. Simeoni, A. Vobecky, N. Komodakis, M. Cord, P. Pérez. MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Transactions on Machine Learning Research (TMLR), 2024.
  50. F. Hamann, Z. Wang, I. Asmanis, K. Chaney, G. Gallego, K. Daniilidis. Motion-Prior Contrast Maximization for Dense Continuous-Time Motion Estimation. ECCV, 2024.
  51. J. Oldfield, M. Georgopoulos, G. G. Chrysos, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, J. Deng, I. Patras. Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. NeurIPS, 2024.
  52. G. Mentzelopoulos, E. Chatzipantazis, A. G. Ramayya, M. Hedlund, V. Buch, K. Daniilidis, K. Kording, F. Vitale. Neural decoding from stereotactic EEG: accounting for electrode variability across subjects. NeurIPS, 2024.
  53. K. Barmpas, G. Zoumpourlis, Y. Panagakis, D. A. Adamos, N. Laskaris, S. Zafeiriou. Position: Addressing Ethical Challenges and Safety Risks in GenAI-Powered Brain-Computer Interfaces. Workshop on GenAI for Health: Potential, Trust and Policy Compliance — NeurIPS, 2024.
  54. V. Perifanis, E. Karypidis, N. Komodakis, P. Efraimidis. SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. EICC, 2024. (Best Paper Award)
  55. I. Kakogeorgiou, S. Gidaris, K. Karantzalos, N. Komodakis. SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CVPR, 2024. (Highlight)
  56. A. Zamanos, P. Koromilas, G. Bouritsas, P. L. Kastritis, Y. Panagakis. Towards generalizable particle picking in Cryo-EM images by leveraging Masked AutoEncoders. Workshop on Efficient and Accessible Foundation Models for Biological Discovery — ICML, 2024.
  57. Y. Song, J. Lei, Z. Wang, L. Liu, K. Daniilidis. Track Everything Everywhere Fast and Robustly. ECCV, 2024.
  58. Y. Wang, Z. Wang, L. Liu, K. Daniilidis. TRAM: Global Trajectory and Motion of 3D Humans from in-the-Wild Videos. ECCV, 2024.
  59. Z. Wang, J. Guo, K. Daniilidis. Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation. ECCV, 2024.
  60. B. Marani, M. Hanini, N. Malayarukil, S. Christodoulidis, M. Vakalopoulou, E. Ferrante. ViG-Bias: Visually Grounded Bias Discovery and Mitigation. ECCV, 2024.
  61. C. Deng, J. Lei, B. Shen, K. Daniilidis, L. J. Guibas. Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. NeurIPS, 2023. (Spotlight)
  62. Y. Xu, J. Lei, K. Daniilidis. Equivariant Light Field Convolution and Transformer in Ray Space. NeurIPS, 2023. (Spotlight)
  63. J. Lei, C. Deng, B. Shen, L. J. Guibas, K. Daniilidis. NAP: Neural 3D Articulated Object Prior. NeurIPS, 2023.
  64. J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras. Parts of Speech–Grounded Subspaces in Vision-Language Models. NeurIPS, 2023.

Data Science and Engineering

  1. A. Semoglou, J. Pavlopoulos. CAKE: Confidence in Assignments via K-partition Ensembles. Machine Learning with Applications, 2026.

  2. A. Michalopoulos, D. Tsitsigkos, N. Mamoulis. In-memory Multidimensional Indexing Using the skd-tree. Proceedings of the VLDB Endowment (PVLDB), 2027 (to appear).
  3. D. Dimitropoulos, N. Mamoulis. ANN Search: Recall What Matters. arXiv preprint, 2026.
  4. D. Metaxakis, A. Sofotasios, C. Stylios, P. Hadjidoukas. Block-Aware Distributed Data Pipelines for Out-of-Core Tabular Machine Learning. European Workshop on Machine Learning and Systems (EuroMLSys), 2026.
  5. K. Kapelios, H. Manousaki, V. Kotsira, C. Sinnis, P. Xiropotamos, T. Dalamagas, G. Georgakilas. bMINTY: enabling reproducible management of high-throughput sequencing analysis results and their metadata. NAR Genomics and Bioinformatics, 2026.
  6. G. Camps-Valls, A. Carrassi, F. de Melo Viríssimo, K. Debeire, M.-Á. Fernández-Torres, P. Hess, H. Heuer, N. Mankovich, D. Montero, E. Rodrigo Bonet, F. Serva, V. Sitokonstantinou, A. White, K.-H. Cohrs, J. Wider, C. Reimers, N. I. Bountos, I. Papoutsis, P. Gentine, V. Eyring. Bridging the weather and climate divide with artificial intelligence. Nature Communications, 2026.
  7. D. Tsitsigkos, A. Michalopoulos, N. Mamoulis, M. Terrovitis. BS-Tree: A Gapped Data-Parallel B-Tree. ICDE, 2026. (Best Paper Runner-Up Award)
  8. A. Semoglou, A. Likas, J. Pavlopoulos. Composite Silhouette: A Subsampling-based Aggregation Strategy. ECML PKDD, 2026.
  9. K. Patroumpas, A. Troupiotis-Kapeliaris, G. Spiliopoulos, P. Betchavas, D. Skoutas, D. Zissis, N. Bikakis. Context-Enriched Natural Language Descriptions of Vessel Trajectories. MDM, 2026.
  10. D. Dimitropoulos, A. Michalopoulos, D. Tsitsigkos, N. Mamoulis. CRISP: Correlation-Resilient Indexing via Subspace Partitioning. arXiv preprint, 2026.
  11. G. Spiliopoulos, A. Troupiotis-Kapeliaris, K. Patroumpas, N. Liapis, D. Skoutas, D. Zissis, N. Bikakis. Data-Driven Trajectory Imputation for Vessel Mobility Analysis. EDBT, 2026.
  12. V. Vittis, A. Abouzied, P. J. Haas, A. Meliou. Dominance-Based Data Reduction for Package Queries. Proceedings of the VLDB Endowment (PVLDB), 2026.
  13. D. Amagata, P. Simatis, P. Bouros, N. Mamoulis. FIRAS: A Framework for Interval Range Search and Sampling. SIGMOD, 2026.
  14. J. Fekete, Y. Hu, D. Moritz, A. Nandi, S. Basu Roy, E. Wu, N. Bikakis, G. Papastefanatos, P. Chrysanthis, G. Li, L. Yu. Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities. ACM SIGMOD Record, 2026.
  15. M. Tyrovolas, A. Sofotasios, D. Metaxakis, G. Mermigkis, G. Georgoulas, P. Hadjidoukas, C. Stylios. K-IPO: Kendall-constrained Importance Preserving Oversampling for Imbalanced Tabular Data. arXiv preprint, 2026.
  16. Z. Masood, S. Khan, K. Kostas, P. Kaklis. Physics-informed geometric operators in generative airfoil design with hybrid VAEs. Journal of Computational Design and Engineering, 2026.
  17. E. Iliadis, C. Gkartzios, E. Pitoura. Provlepsis4j: Querying Future Graphs in Neo4j. Proceedings of the VLDB Endowment (PVLDB), 2026.
  18. S.-A. Kefalidis, K. Plas, M. Koubarakis. PYTHIA: Universal Question Answering over Knowledge Graphs. KDD, 2026.
  19. N. Koutroumanis, P. Karampas, A. Karakasidis, N. Mamoulis, P. Vassiliadis. Scalable Grid-based Computation of Kendall's τ Correlation. Proceedings of the VLDB Endowment (PVLDB), 2026.
  20. T. Georgiadis, N. Mamoulis. Scalable Spatial Topology Joins. EDBT, 2026.
  21. G. Anagnostopoulos, D. Kaklis, S. Stamatelopoulos, G. Paximadakis, K. Tsakalidis, P. Kaklis. Ship Hull Generation Using GANs & VAE-PCTs: A Comparison Study. Journal of Marine Science and Engineering, 2026.
  22. P. Betchavas, A. Troupiotis-Kapeliaris, K. Patroumpas, G. Spiliopoulos, D. Skoutas, D. Zissis, N. Bikakis. Trajectory Imputation Using Computer Vision Models. MDM, 2026.
  23. K. Mparmparousis, C. Tsapelas, G. Koutrika. What Drives Learned Optimizer Performance? A Systematic Evaluation. EDBT, 2026.
  24. G. Camps-Valls, M.-Á. Fernández-Torres, K.-H. Cohrs, A. Hohl, A. Castelletti, A. Paçal, C. N. Robin, F. Martinuzzi, I. Papoutsis, I. Prapas, J. Pérez-Aracil, K. Weigel, M. Gonzalez-Calabuig, M. Reichstein, M. Rabel, M. Giuliani, M. D. Mahecha, O.-I. Popescu, Ó. J. Pellicer-Valero, S. Ouala, S. Salcedo-Sanz, S. Sippel, S. Kondylatos, T. Happé, T. Williams. Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications, 2025.
  25. K. Lampropoulos, F. Zardbani, N. Mamoulis, P. Karras. Benchmarking Adaptive Multidimensional Indices. Proceedings of the VLDB Endowment (PVLDB), 2025.
  26. D. G. Jenkins, V. Heller, A. Giannakidis. Comprehensive prediction of subaerial landslide-tsunamis via slide model and water body geometry-invariant machine learning techniques. Ocean Engineering, 2025.
  27. M. Xydas, A. Mitsopoulou, G. Katsogiannis-Meimarakis, C. Tsapelas, S. Eleftherakis, A. Mandamadiotis, G. Koutrika. DataDazzle: Intelligent Data Exploration through Natural Language. SIGMOD, 2025 (Demo).
  28. G. Yang, J. Zhang, G. Papanastasiou, G. Wang, D. Tao. Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI. IEEE Transactions on Big Data, 2025.
  29. G. Anagnostopoulos, S. Khan, J. Awan, G. Paximadakis, P. Kaklis. Generative Ship Hull Form Optimisation with ShipHullGAN. MARINE, 2025.
  30. T. Georgiadis, A. Michalopoulos, D. Dimitropoulos, D. Tsitsigkos, N. Mamoulis. Hecatoncheir: Scaling up and out spatial data management. SIGSPATIAL, 2025.
  31. P. Kaklis, K. Kostas, S. Khan. Machine Learning and Modeling for Ship Design. Journal of Marine Science and Engineering, 2025.
  32. S. Kondylatos, N. I. Bountos, I. Prapas, A. Zavras, G. Camps-Valls, I. Papoutsis. Probabilistic machine learning for noisy labels in Earth observation. Scientific Reports, 2025.
  33. J. Li, T. Cai, K. Deng, T. Sellis, F. Xia. Reflection on community-diversified influence maximization in social networks. Information Systems, 2025.
  34. P. Bouros, N. Mamoulis. Relevance Queries for Interval Data. SIGMOD, 2025.
  35. S. S. Eusuf, M. E. Ali, M. A. Cheema, H. Ghaderi, T. Sellis. Scalable multi-hop trajectory join methods for efficient crowdshipping delivery. Transportmetrica A: Transport Science, 2025.
  36. V. Nakos, H. Q. Ngo, C. E. Tsourakakis. Targeted Least Cardinality Candidate Key for Relational Databases. ICDT, 2025.
  37. C. Tsapelas, G. Koutrika. Towards a Neural Database Execution Engine. PhD Workshop — EDBT/ICDT, 2025.
  38. F. Zardbani, K. Lampropoulos, N. Mamoulis, P. Karras. Updating an Adaptive Spatial Index. ICDE, 2025.
  39. D. Soumis, G. Stamoulis, M. Koubarakis. A Visual Query Builder for DBpedia. WISE, 2024.
  40. S.-A. Kefalidis, K. Plas, G. Stamoulis, D. Punjani, P. Maret, M. Koubarakis. Developing geospatial web applications using question answering engines, knowledge graphs and linked data tools. WISE, 2024.
  41. A. Michalopoulos, D. Tsitsigkos, P. Bouros, N. Mamoulis, M. Terrovitis. Efficient Distance Queries on Non-point Data. ACM Transactions on Spatial Algorithms and Systems, 2024.
  42. M. Mitsios, D. Punjani, S. Abdollahi, S. Gottschalk, E. Tsalapati, E. Demidova, M. Koubarakis. Generating a Question Answering Dataset About Geographic Changes in a Knowledge Graph. EKAW, 2024.
  43. A. Zamanos, G. Ioannakis, I. Z. Emiris. HydraProt: A New Deep Learning Tool for Fast and Accurate Prediction of Water Molecule Positions for Protein Structures. Journal of Chemical Information and Modeling, 2024.
  44. S. Khan, Z. Masood, M. Usama, K. Kostas, P. Kaklis, W. Chen. Physics-informed geometric operators to support surrogate, dimension reduction and generative models for engineering design. Advanced Engineering Informatics, 2024.
  45. J. Pavlopoulos, G. Vardakas, A. Likas. Revisiting Silhouette Aggregation. Discovery Science, 2024. (Best Paper Runner-Up Award)
  46. F. Montori, K. Liao, M. De Giosa, P. P. Jayaraman, L. Bononi, T. Sellis, D. Georgakopoulos. A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data. IEEE Internet of Things Journal, 2023.
  47. L. Chen, X. Zhou, X. Yang, T. Sellis. Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques. IEEE Transactions on Knowledge and Data Engineering, 2023.
  48. Md. T. Mahmood, M. E. Ali, M. A. Cheema, S. Md. M. Rashid, T. Sellis. PathOracle: A Deep Learning Based Trip Planner for Daily Commuters. ECML PKDD, 2023.

AI in Health

  1. Y. Gao, D. Marshall, X. Xing, J. Ning, C. Dai, G. Papanastasiou, G. Yang, M. Komorowski. Anatomy-Guided Radiology Report Generation With Pathology-Aware Regional Prompts. IEEE Open Journal of Engineering in Medicine and Biology, 2026.
  2. F. Shehadeh, B. Mishra, R. Ferrer-Espada, A. Basu, L. Felix, C. Dellis, N. Ganesan, L. Zhang, A. Martens, Y. Goulev, M. B. Sherman, J. Paulsson, M. T. Naik, P. P. Sotiriadis, E. Mylonakis. CAMPER: mechanistic artificial intelligence for designing peptides that target MRSA persisters. Nature Communications, 2026.
  3. C. A. Papanastasiou, P. N. Kampaktsis, Z. Papalamprakopoulou, T. Gossios, T. Panagiotidis, M.-A. Bazmpani, T. Zegkos, D. N. Kokkinidis, S. Votsis, I. Tziatzios, D. Parcharidou, V. Kamperidis, G. Efthimiadis, A. A. Giannopoulos, A. Tsapas, A. Ziakas, T. D. Karamitsos. Cardiac Magnetic Resonance for the Prediction of Arrhythmic Events in Mitral Valve Prolapse: A Systematic Review and Meta-analysis. The American Journal of Cardiology, 2026.
  4. A. Lolos, T. Christodoulou, A. L. Moustakas, S. Christodoulidis, M. Vakalopoulou. Context-Aware Patch Representations for Multiple Instance Learning. MIDL, 2026.
  5. D. Samaras, D. Tsivaka, M. Vakalopoulou, P. Papadimitroulas, G. Angelidis, T. Kilindris, V. Valotassiou, D. Psimadas, E. Panagiotidis, P. Georgoulias, I. Tsougos. Decoding the Myocardium: Tracer-Aware Deep Learning for Patient-Level Classification in Stress–Rest SPECT Myocardial Perfusion Imaging. Diagnostics, 2026.
  6. S. Zhang, Y. Nan, Y. Fang, S. Wang, Y. Liu, G. Papanastasiou, Z. Gao, S. Li, S. Walsh, G. Yang. Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method. Medical Image Analysis, 2026.
  7. P. Thompson, A. Boulogeorgou, F. Kaponi, E. Soufleri, S. Ananiadou. Evaluating Professional Acceptability of LLM-Generated Systematic Review Summaries in Healthcare: Psychiatrists’ Perspectives. Workshop on Patient-Oriented Language Processing (CL4Health) — LREC, 2026.
  8. K. Ladakis, M. A. Savaglio, S. Siganos, A. Aravind, S. M. Smirnakis, M. Papadopouli. From Ensembles in Visual Cortex to Deep Spiking Networks: Conserved Functional Connectivity Properties. COSYNE, 2026 (conference abstract).
  9. K. Barmpounakis, T. P. Vagenas, M. Vakalopoulou, G. K. Matsopoulos. Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning. Workshop on Medical Image Artificial Intelligence for Radiotherapy (MIART) — MICCAI, 2026.
  10. K. Barmpas, N. Lee, D. Chalatsis, W. Raftery, Y. Panagakis, D. A. Adamos, N. Laskaris, A. Koliousis, D. Farina, S. Zafeiriou. NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models. NeurIPS, 2026.
  11. A. Barmperis, O. Menegaki, A. Panagiotakopoulou, A. Vezakis, I. Vezakis, I. Kakkos, G. K. Matsopoulos. Organ Segmentation with Machine Learning Models. Journal of Imaging, 2026.
  12. A. S. Panayides, H. Chen, N. D. Filipovic, T. Geroski, J. Hou, K. Lekadir, K. Marias, G. K. Matsopoulos, G. Papanastasiou, P. Sarder, G. Tourassi, S. A. Tsaftaris, H. Fu, E. Kyriacou, C. P. Loizou, M. Zervakis, J. H. Saltz, F. E. Shamout, K. C. L. Wong, J. Yao, A. Amini, D. I. Fotiadis, C. S. Pattichis, M. S. Pattichis. Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE Journal of Biomedical and Health Informatics, 2026.
  13. A. Aravind, K. Ladakis, M. A. Savaglio, S. M. Smirnakis, M. Papadopouli. Rare Events, Real Signals: Functional Ensembles as a Computational Substrate in Deep Networks. NeurIPS, 2026.
  14. T. A. Bohoran, K. Parke, A. W. Cowley, G. S. Gulsin, J. L. Yeo, A. Dattani, G. P. McCann, A. Giannakidis. Segmetron: Sample-efficient model-agnostic semantic segmentation with a trustworthy reject option via PQ learning. Pattern Recognition, 2026.
  15. Y. Mao, H. Li, W. Pang, G. Papanastasiou, G. Yang, E. Mohammadipasand, T. Harrison-Drummond, C. Wang. SeLoRA: Self-expanding LoRA for high-quality and efficient medical image synthesis. Expert Systems with Applications, 2026.
  16. A. Lolos, S. Christodoulidis, A. L. Moustakas, J. Dolz, M. Vakalopoulou. SGPMIL: Sparse Gaussian Process Multiple Instance Learning. WACV, 2026.
  17. B. Mishra, A. Basu, F. Shehadeh, L. O. Felix, S. S. Kollala, Y. S. Chhonker, M. T. Naik, C. Dellis, L. Zhang, N. Ganesan, D. J. Murry, J. Gu, M. B. Sherman, F. M. Ausubel, P. P. Sotiriadis, E. Mylonakis. Antimicrobial peptide developed with machine learning sequence optimization targets drug resistant Staphylococcus aureus in mice. Journal of Clinical Investigation, 2025.
  18. D. Samaras, G. Agrotis, A.-C. Vamvakas, M. Vakalopoulou, M. Vlychou, K. Vassiou, V. Tzortzis, I. Tsougos. Associating Gleason score with artificial intelligence and MRI-based radiomics for prostate cancer: A Multicenter Study. ECR, 2025.
  19. A. Stylianou, K. Polemidiotou, V. Alimisis, F. Mpekris, C. Voutouri, M. Mari, G. Filippidis, A. Zachariades, S. V. Kontomaris, P. P. Sotiriadis, V. Gkretsi, T. Stylianopoulos. Atomic Force Microscopy‐Based Nanomechanical Signatures for Staging Classification and Drug Response in Pulmonary Fibrosis. Small, 2025.
  20. D. Samaras, G. Agrotis, M. Vakalopoulou, A. Vassiou, M. Vlychou, I. Tsougos. Benchmarking Radiomics-Based Machine Learning Pipelines for Clinically Significant Prostate Cancer Detection. BIBE, 2025.
  21. D. Samaras, G. Agrotis, A.-C. Vamvakas, M. Vakalopoulou, M. Vlychou, K. Vassiou, V. Tzortzis, I. Tsougos. Beyond Radiomics Alone: Enhancing Prostate Cancer Classification with ADC Ratio in a Multicenter Benchmarking Study. Diagnostics, 2025.
  22. W. Xu, I. Mesa-Eguiagaray, D. M. Morris, C. Wang, C. D. Gray, S. Sjöström, G. Papanastasiou, S. Badr, J. Paccou, L. Wang, X. Li, P. R. H. J. Timmers, M. Timofeeva, S. I. Semple, T. MacGillivray, E. Theodoratou, W. P. Cawthorn. Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank. Nature Communications, 2025.
  23. N. Mouadden, O. Laousy, R. Marini, V. Ong, M.-P. Revel, G. Chassagnon, S. Christodoulidis, M. Vakalopoulou. Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data. MICCAI, 2025.
  24. W. Xu, I. Mesa-Eguiagaray, D. M. Morris, C. Wang, C. D. Gray, S. Sjöström, G. Papanastasiou, S. Badr, J. Paccou, X. Li, P. R. H. J. Timmers, M. Timofeeva, S. M. Farrington, M. G. Dunlop, S. I. Semple, T. MacGillivray, E. Theodoratou, W. P. Cawthorn. Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank. Nature Communications, 2025.
  25. Q. Spinat, B. Audelan, X. Jiang, B. Caba, A. Benichoux, D. Ioannidou, O. Teboul, N. Komodakis, W. Huijbers, R. E. Gabr, A. Gafson, C. Elliott, D. L. Arnold, N. Paragios, S. Belachew. Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. Medical Image Analysis, 2025.
  26. Q. Spinat, A. Duran, O. Teboul, N. Paragios, N. Komodakis. Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View. MICCAI, 2025.
  27. N. Tzanakis, A. Barberis, M. A. Savaglio, I. Chourdaki, S. M. Smirnakis, M. Papadopouli. Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural Representation. BIBE, 2025. (Best Paper Award)
  28. X. Xing, G. Papanastasiou, O. Diaz, L. Cerda Alberich, R. Osuala, Y. Nan, K. Lekadir, G. Yang. Generating Synthetic Data in Cancer Research. In: Chouvarda, I., Colantonio, S., Tsakou, G., Yang, G. (eds) Trustworthy AI in Cancer Imaging Research. Springer, Cham, 2025.
  29. S. G. Nikolopoulou, B. Kalska-Szostko, A. Basa, G. Papanastasiou, A. Tavares, C. Alcaide Corral, A. Papadopoulou, M. Kostakis, N. S. Thomaidis, E. K. Efthimiadou. Hybrid Silver-Iron Oxide Nanoflowers: Morphological Tailoring, Application as CT Agents, and Exploitation of Induced Apoptosis in Glioblastoma Treatment. Materials Advances, 2025.
  30. D. Tsolissou, T. Ganitidis, K. Mitsis, S. Christodoulidis, M. Vakalopoulou, K. S. Nikita. Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights. BIBE, 2025.
  31. O. Konstantaropoulos, S. M. Smirnakis, M. Papadopouli. Neuro-Inspired Ensemble-to-Ensemble Communication Primitives for Sparse & Efficient ANNs. BIBE, 2025.
  32. L. Ghafourpour, V. Duruisseaux, B. Tolooshams, P. H. Wong, C. A. Anastassiou, A. Anandkumar. NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models. NeurIPS, 2025.
  33. M. A. Savaglio, C. Brozi, S. M. Smirnakis, M. Papadopouli. On Temporal Robustness & Brain-State Stability of Functional Connectivity in Mouse Primary Visual Area V1 compared to Higher Visual Area AL. BIBE, 2025. (Best Paper Award)
  34. P. Jing, K. Lee, Z. Zhang, H. Zhou, Z. Yuan, Z. Gao, L. Zhu, G. Papanastasiou, Y. Fang, G. Yang. Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation. Medical Image Analysis, 2025.
  35. T. P. Vagenas, M. Vakalopoulou, C. Sachpekidis, A. Dimitrakopoulou-Strauss, G. K. Matsopoulos. Representation Learning in PET Scans Enhanced by Semantic and 3D Position Specific Characteristics. IEEE Transactions on Medical Imaging, 2025.
  36. Y. Nan, H. Zhou, X. Xing, G. Papanastasiou, L. Zhu, Z. Gao, A. F. Frangi, G. Yang. Revisiting medical image retrieval via knowledge consolidation. Medical Image Analysis, 2025.
  37. V. Belagali, S. Kapse, P. Marza, S. Das, Z. Li, S. Boutaj, P. Pati, S. Yellapragada, T. Nandi, R. Madduri, J. H. Saltz, P. Prasanna, S. Christodoulidis, M. Vakalopoulou, D. Samaras. TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning. arXiv preprint, 2025.
  38. D. Hidalgo, G. Dellaferrera, G. Ramos-Traslosheros, W. Xiao, C. R. Ponce, M. Papadopouli, S. M. Smirnakis, G. Kreiman. Trial-by-trial inter-areal interactions in visual cortex in the presence or absence of visual stimulation. eLife, 2025.
  39. S. S. Mahdi, E. Caldeira, H. Matthews, M. Vanneste, N. Nauwelaers, M. Yuan, G. Bouritsas, G. Baynam, P. Hammond, R. A. Spritz, O. D. Klein, M. M. Bronstein, B. Hallgrímsson, H. Peeters, P. Claes. A 3D Clinical Face Phenotype Space of Genetic Syndromes Using a Triplet-Based Singular Geometric Autoencoder. IEEE Access, 2024.
  40. K. Barmpas, Y. Panagakis, D. A. Adamos, N. Laskaris, S. Zafeiriou. A causal perspective on brainwave modeling for brain–computer interfaces. Journal of Neural Engineering, 2024.
  41. C. Voutouri, D. Englezos, C. Zamboglou, I. Strouthos, G. Papanastasiou, T. Stylianopoulos. A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models. Communications Medicine, 2024.
  42. X. Xing, C. Tang, S. Murdoch, G. Papanastasiou, Y. Guo, X. Xiao, J. Cross-Zamirski, C.-B. Schönlieb, K. X. Liang, Z. Niu, E. F. Fang, Y. Wang, G. Yang. Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing, 2024.
  43. X. Xing, S. Murdoch, C. Tang, G. Papanastasiou, J. Cross-Zamirski, Y. Guo, X. Xiao, C.-B. Schönlieb, Y. Wang, G. Yang. Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield?. Computers in Biology and Medicine, 2024.
  44. K. Alexis, S. Christodoulidis, D. Gunopulos, M. Vakalopoulou. Diffusion models for nuclei segmentation in low data regimes. ISBI, 2024.
  45. A. Siouras, S. Moustakidis, G. Chalatsis, T. A. Bohoran, M. Hantes, M. Vlychou, S. Tasoulis, A. Giannakidis, D. Tsaopoulos. Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Computerized Medical Imaging and Graphics, 2024.
  46. G. Huang, Y. Li, S. Jameel, Y. Long, G. Papanastasiou. From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?. Computational and Structural Biotechnology Journal, 2024.
  47. M. Papadopouli, I. Smyrnakis, E. Koniotakis, M. A. Savaglio, C. Brozi, E. Psilou, G. Palagina, S. M. Smirnakis. From Functional Architecture to Organizing Principles of Neuronal Ensembles in Mouse Area V1. bioRxiv preprint, 2024.
  48. M. Schmidt-Mengin, A. Benichoux, S. Belachew, N. Komodakis, N. Paragios. ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CVPR, 2024.
  49. G. Papanastasiou, N. Dikaios, J. Huang, C. Wang, G. Yang. Is Attention All You Need in Medical Image Analysis? A Review. IEEE Journal of Biomedical and Health Informatics, 2023.

AI in Law and Financial Technology

  1. T. Papadopoulos, C. Venetis, J. Pavlopoulos, I. Androutsopoulos, S. Ananiadou. Bias Before the Model: Detecting and Removing Cognitive Bias Triggers in Financial Text. EMNLP, 2026.
  2. E. Beta, O. S. Chlapanis, D. Galanis, I. Androutsopoulos. GreekBarRetrieval: A Benchmark for Greek Statutory Retrieval. Workshop on Natural Legal Language Processing (NLLP), 2026.
  3. P. Giannouris, Y. Jiang, L. Qian, Y. Wang, X. Peng, J. Huang, G. Xiong, S. Ananiadou. Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading. arXiv preprint, 2026.
  4. E. Psarra, K. Stefanidis. On the Applicability of LLMs and SLMs for Privacy-Preserving Named Entity Recognition in Financial Applications. Applied Sciences, 2026.
  5. Z. Liu, Y. Cao, Y. Jiang, M. Kabir, P. Giannouris, C. Xu, Z. Xu, T. Zhu, Md. Tariquzzaman, T. Papadopoulos, Y. Wang, L. Qian, X. Peng, Z. Xie, Y. Yuan, S. Almheiri, A. Alnajjar, M.-B. Chen, H. Stuart, P. Thompson, P. Tiwari, A. Lopez-Lira, X. Liu, J. Huang, S. Ananiadou. Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection. Findings of ACL, 2026.
  6. L. Loukas, F. Billert, M. Fergadiotis, P. Malakasiotis, I. Androutsopoulos. EDGAR-CRAWLER: From Raw Web Documents to Structured Financial NLP Datasets. WWW Companion, 2025.
  7. Z. Liu, X. Zhang, K. Yang, Q. Xie, J. Huang, S. Ananiadou. FMDLlama: Financial Misinformation Detection Based on Large Language Models. WWW Companion, 2025 (Short Papers).
  8. X. Zhang, R. Xiang, C. Yuan, D. Feng, W. Han, A. Lopez-Lira, X.-Y. Liu, M. Qiu, S. Ananiadou, M. Peng, J. Huang, Q. Xie. Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. KDD, 2024.

Responsible AI

  1. G. Mermigkis, D. Metaxakis, M. Tyrovolas, A. Sofotasios, N. Avgeris, P. Hadjidoukas, C. Stylios. A Two-Stage LLM Framework for Accessible and Verified XAI Explanations. IEEE World Congress on Computational Intelligence (WCCI), 2026.
  2. S. Sokol, M. Ramanathan, P. Papadimitriou, M. E. Sargin, M. Abdelhady, P. Tsaparas, T. Sellis, K. Garimella, V. Verroios, D. Olmedilla. AI-Enabled Integrity in Social Networks and Media. Workshop on Integrity in Social Networks and Media (Integrity) — KDD, 2026.
  3. M. Plitsis, G. Bouritsas, V. Katsouros, Y. Panagakis. Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search. ICML, 2026.
  4. N. Theologis, E. Pitoura, E. Terzi, P. Tsaparas. Fairness in Opinion-Formation Dynamics. WWW, 2026.
  5. C. Fragkathoulas, E. Psaroudaki, T. Palpanas, E. Pitoura. GALACTICA: An Interactive System for Local and Global Counterfactual Explanations for Time-Series Clustering. Proceedings of the VLDB Endowment (PVLDB), 2026.
  6. L. Kavouras, E. Psaroudaki, K. Tsopelas, D. Rontogiannis, N. Theologitis, D. Sacharidis, G. Giannopoulos, D. Tomaras, K. Markou, D. Gunopulos, D. Fotakis, I. Z. Emiris. GLANCE: Global Actions in a Nutshell for Counterfactual Explainability. AAAI, 2026.
  7. G. Balanos, E. Chasanis, K. Skianis, E. Pitoura. KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-Based Perturbations. Knowledge Graphs (LNCS), 2026.
  8. V. Papanikou, D. P. Karidi, E. Pitoura, E. Panagiotou, E. Ntoutsi. MIMOSA: A Tool for Fairness Exploration Through Explanations. EDBT, 2026 (Demo).
  9. S. Tzimas, T. Nikas, E. Pitoura, P. Tsaparas. Minimizing the Cost of Pagerank Fairness. WSDM Companion, 2026.
  10. C. Fragkathoulas, V. Papanikou, D. P. Karidi, E. Pitoura. On the Interplay of Explainability and Fairness in AI: A Survey. IEEE Transactions on Knowledge and Data Engineering, 2026.
  11. V. Papanikou, E. Pitoura. TACENR: Task-Agnostic Contrastive Explanations for Node Representations. World Conference on Explainable Artificial Intelligence (XAI), 2026.
  12. A. Karra, V. Papanikou, G. Vardakas, E. Pitoura, A. Likas. UniFair: A unified fair clustering approach based on separation and compactness. arXiv preprint, 2026.
  13. D. Karpontinis, E. Soufleri. DP-CARE: a differentially private classifier for mental health analysis in social media posts. Frontiers in Digital Health, 2025.
  14. C. Fragkathoulas, V. Papanikou, E. Pitoura, E. Terzi. FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness. ECML PKDD, 2025.
  15. D. P. Karidi, E. Pitoura. Path-based summary explanations for graph recommenders. ICDE, 2025.
  16. A. Kuratomi, Z. Lee, P. Tsaparas, E. Pitoura, T. Lindgren, G. Dinis, P. Papapetrou. Subgroup fairness based on shared counterfactuals. Knowledge and Information Systems, 2025.
  17. C. Fragkathoulas, E. Pitoura. UGCE: User Guided Incremental Counterfactual Exploration. Workshop on Forgetting and Machine Unlearning in AI (ForgtAI) — IJCNN, 2025.
  18. A. Kuratomi, Z. Lee, P. Tsaparas, G. Dinis Junior, E. Pitoura, T. Lindgren, P. Papapetrou. CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification. ICDM, 2024.
  19. C. Fragkathoulas, O. S. Chlapanis. Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs. SETN, 2024.
  20. C. Fragkathoulas, V. Papanikou, D. P. Karidi, E. Pitoura. On Explaining Unfairness: An Overview. Workshop on Fairness in AI (FAIR) — ICDE, 2024.
  21. L. Zafeiriou, E. Pitoura, P. Tsaparas. Counterfactual Explanations for Recommendations Bias. Workshop on Bias and Fairness in AI (BIAS) — ECML PKDD, 2023.
  22. L. Kavouras, K. Tsopelas, G. Giannopoulos, D. Sacharidis, E. Psaroudaki, N. Theologitis, D. Rontogiannis, D. Fotakis, I. Z. Emiris. Fairness Aware Counterfactuals for Subgroups. NeurIPS, 2023.
  23. L. Garcia-Pueyo, P. Tsaparas, P. S. Kumar, T. Sellis, P. Papotti, S. Adalı, G. Manco, T. Trufinescu, G. Ranade, J. R. Verbus, M. Tek, A. McCosker. Integrity 2023: Integrity in Social Networks and Media. Workshop on Integrity in Social Networks and Media (Integrity) — WSDM, 2023.
  24. E. Pitoura. Pagerank Fairness in Networks. European Workshop on Algorithmic Fairness (EWAF), 2023.

Miscellaneous

  1. V. Alimisis, K. Cheliotis, A. Mylona, Z. Foufas, V. Moustakas, P. P. Sotiriadis. A current-mode, low-power, area-efficient analog-hardware squarer-based edge detector. Analog Integrated Circuits and Signal Processing, 2026.
  2. V. Alimisis, A. Papathanasiou, V. Moustakas, A. Mylona, C. Dimas, P. P. Sotiriadis. A Low-Power, Analog-Integrated, Current-Mode, and Fully Tunable Artificial Neural Network Classifier Architecture for Biomedical Engineering Applications. IEEE Open Journal of Circuits and Systems, 2026.
  3. V. K. Singh, V. P. Yadav, V. Alimisis, P. P. Sotiriadis, S. Majumdar, A. Majumder. A Model-Driven Approach to Variable-Frequency Clock Synthesis for PSN-Resilient IC Wake-Up. DDECS, 2026.
  4. E. Asitzoglou, D. Papa, V. Alimisis, P. P. Sotiriadis. A Power-Efficient Analog Hardware Type-2 Fuzzy Classifier Architecture for Water Potability. MATEC Web of Conferences, 2026.
  5. V. Alimisis, A. Papathanasiou, V. Moustakas, A. Mylona, D. Papa, A. Majumder, P. P. Sotiriadis. An Analog Integrated, Power-Efficient, Current-Mode Type-2 Fuzzy Inference System for Biomedical Applications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2026.
  6. A. V. Doumas. An inequality involving alternating binomial sums. Statistics & Probability Letters, 2026.
  7. Y. Brun, S. Chakraborty, C. Le Goues, C. S. Păsăreanu, A. Singla. Automatically Engineering Trusted Software: A Research Roadmap. ACM Transactions on Software Engineering and Methodology, 2026.
  8. S. Sakka, V. Liagkou, A. C. Ferreira, C. Stylios. Digital Boundaries and Consent in the Metaverse: A Comparative Review of Privacy Risks. Journal of Cybersecurity and Privacy, 2026.
  9. Y. Chen, X. Yan, A. Meliou, E. Lo. DiskJoin: Large-scale Vector Similarity Join with SSD. SIGMOD, 2026.
  10. V. Bohun, I. Lukin, M. Luhanko, G. Korpas, P. J. S. De Brouwer, M. Maksymenko, M. Koch-Janusz. Entanglement scaling in matrix product state representation of smooth functions and their shallow quantum circuit approximations. Physical Review Research, 2026.
  11. A. V. Doumas, S. Spektor. Equal probabilities maximize the expected deficit in the siblings of the coupon collector. arXiv preprint, 2026.
  12. M. Nerantzini, E. Peristeri, S. Alexandropoulou, S. Varlokosta. Garden path processing in children with Autism Spectrum Disorders: Evidence from eye-tracking. Research in Autism, 2026.
  13. A. V. Doumas, S. Spektor. Kolmogorov-Type Maximal Inequalities for Independent and Dependent Negative Binomial Random Variables. Methodology and Computing in Applied Probability, 2026.
  14. F. C. Oettl, M. Mudford, D. Fendrich, A. Giannakidis, J. A. Pruneski, M. T. Hirschmann, K. Samuelsson, ESSKA Artificial Intelligence Working Group. Living publications: How interactive artificial intelligence platforms are transforming research communication. Knee Surgery, Sports Traumatology, Arthroscopy, 2026.
  15. V. Alimisis, E.-A. Serlis, G. Gennis, P. P. Sotiriadis. Low-power analog integrated implementation of the learning vector quantization algorithm for interdisciplinary applications. Analog Integrated Circuits and Signal Processing, 2026.
  16. A. L. Moustakas, G. C. Alexandropoulos. Multi-RIS-Empowered Communication Systems: Capacity Analysis and Optimization. Reconfigurable Intelligent Surfaces for Wireless Communications (Springer book chapter), 2026.
  17. D. Deng, P. Zhu, X. Qu, H. Li, X. Xue, X. Liu, Z. Gao, H. Zhang, H. Qin, Y. Lu, Y. Feng, M. Zeng, S. Chen, X. Li, Y. Zhou, F. Liu, H. Gao, W. Zheng, C. Zhang, X. Xu, W. Chen, D. Yi, G. Papanastasiou, W. K. Hau, G. Yang, Z. Zhang. Non-invasive assessment of microcirculatory resistance by coronary computed tomography angiography. EuroIntervention: 22(1), 2026.
  18. S. Sakka, V. Liagkou, Y. Stamatiou, C. Stylios. Probabilistic Bit-Similarity-Based Key Agreement Protocol Employing Fuzzy Extraction for Secure and Lightweight Wireless Sensor Networks. Journal of Cybersecurity and Privacy, 2026.
  19. K. Fragkopoulou, C. Manouilidou, G. Markopoulos, S. Varlokosta. Pronoun production in the connected speech of Greek-speaking individuals with mild-to-moderate Alzheimer's Disease. Journal of Neurolinguistics, 2026.
  20. P. Rana, A. Majumder, V. Alimisis, P. P. Sotiriadis. Resistorless DVCCTA-Based Memristor Emulator for Analog/Digital/Neuromorphic Applications. IMCET, 2026.
  21. A. V. Doumas, S. Spektor. Two Multi-Draw Coupon Collector models with different retention rules. arXiv preprint, 2026.
  22. V. Alimisis, A. Mylona, K. Cheliotis, V. Moustakas, Z. Foufas, P. P. Sotiriadis. A Cuff-Less Blood Pressure Estimation System Based On Low-Power Analog Integrated Neural Network. MOCAST, 2025.
  23. V. Alimisis, K. Cheliotis, V. Moustakas, A. Mylona, C. Dimas, P. P. Sotiriadis. A Design Methodology for Analog Integrated Artificial Neural Networks Circuits: Architectures, Design and Training. Analog Integrated Circuits and Signal Processing, 2025.
  24. V. Alimisis, A. Mylona, A. Papathanasiou, V. Moustakas, P. P. Sotiriadis. A Fetal Monitoring IoT-Edge Cardiotocography System Based on Low-Power Analog Hardware Neural Network. ICM, 2025.
  25. K. Cheliotis, V. Alimisis, V. Moustakas, A. Mylona, P. P. Sotiriadis. A Low-Power Analog Hardware Nearest Centroid Classifier for Glioma Brain Tumor Classification. PRIME, 2025.
  26. V. Alimisis, K. Cheliotis, A. Mylona, V. Moustakas, P. P. Sotiriadis. A Low-Power Analog Integrated Decision Tree Classifier Architecture for Apnea-Ecg Detection. ICECS, 2025.
  27. K. Cheliotis, V. Alimisis, V. Moustakas, A. Papathanasiou, P. P. Sotiriadis. A Low-Power Analog Integrated Decision Tree Classifier for Laryngeal Voice Disorder Detection. NEWCAS, 2025.
  28. V. Moustakas, V. Alimisis, Z. Foufas, K. Cheliotis, A. Mylona, P. P. Sotiriadis. A Low-Power Analog Integrated Decision Tree for Diabetic Retinopathy Detection. MOCAST, 2025. (Best Student Paper and Presentation Award)
  29. V. Moustakas, V. Alimisis, K. Cheliotis, A. Mylona, P. P. Sotiriadis. A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Adaptive Bulk Biasing for Forest Fire Prediction. PRIME, 2025.
  30. V. Moustakas, V. Alimisis, K. Cheliotis, A. Papathanasiou, P. P. Sotiriadis. A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Bulk Biasing for ML Applications. NEWCAS, 2025.
  31. V. Alimisis, V. Moustakas, K. Cheliotis, C. Dimas, P. P. Sotiriadis. A Power and Area Efficient Analog Classifier for Electrical Impedance Tomography Applications. Circuits, Systems, and Signal Processing, 2025.
  32. A. Mylona, V. Alimisis, P. P. Sotiriadis. A Power-Efficient Analog Hardware Neural Network for Hand Gesture Recognition. ICABME, 2025.
  33. A. Mylona, V. Alimisis, K. Cheliotis, V. Moustakas, P. P. Sotiriadis. A Power-Efficient Analog Integrated Decision Tree Classifier for Dementia Prediction. PRIME, 2025. (Silver Leaf Certificate)
  34. V. Alimisis, K. Cheliotis, V. Moustakas, A. Mylona, Z. Foufas, P. P. Sotiriadis. A Power-Efficient Analog Integrated Decision Tree Classifier for Machine Predictive Maintenance Classification. SMACD, 2025.
  35. V. Alimisis, K. Cheliotis, A. Mylona, V. Moustakas, P. P. Sotiriadis. A Power-Efficient Analog Integrated K-means Classifier Architecture for Brain Stroke Prediction. ICECS, 2025.
  36. V. Alimisis, V. Moustakas, A. Papathanasiou, K. Cheliotis, P. P. Sotiriadis. An Analog Hardware Neural Network-Based Classifier for Robot Manipulation. IC2AI, 2025.
  37. A. Mylona, V. Alimisis, P. P. Sotiriadis. An Analog Hardware Squarer-Based Edge Detector for Breast Cancer. ICECS, 2025.
  38. V. Moustakas, K. Cheliotis, A. Mylona, V. Alimisis, P. P. Sotiriadis. An Analog Low-Power Decision Tree Classifier Architecture for Parkinson’s Disease Prediction. FAIEMA, 2025 (PhD Symposium). (Best Paper Award)
  39. V. Alimisis, V. Moustakas, K. Cheliotis, A. Mylona, P. P. Sotiriadis. An analog ReLu-based decision tree circuit architecture for biomedical applications. Analog Integrated Circuits and Signal Processing, 2025.
  40. E. Georgiou, T. Kantianis, D. Papa, V. Moustakas, V. Alimisis, P. P. Sotiriadis. An Early Detection Auditory Disorders System based on Power-Efficient Analog Hardware Sigmoid-based Classifiers. ICABME, 2025.
  41. K. Cheliotis, V. Alimisis, V. Moustakas, Z. Foufas, A. Mylona, P. P. Sotiriadis. An Energy-Efficient Analog Integrated Neural Network for Cirrhosis Patient Survival Prediction. SMACD, 2025.
  42. D. Kelesis, D. Fotakis, G. Paliouras. Analyzing the effect of residual connections to oversmoothing in graph neural networks. Machine Learning, 2025.
  43. E. Peristeri, M. Nerantzini, T. C. Papadopoulos, S. Varlokosta. Autistic children’s reading comprehension revisited through eye-tracking: Evidence from bridging inferencing. Research in Autism, 2025.
  44. K. Metaxas, P. P. Sotiriadis, Y. Kominis. Bifurcation analysis and chaotic dynamics of differential LC oscillators with a tail capacitor. Chaos, Solitons & Fractals, 2025.
  45. Z. Foufas, V. Alimisis, P. P. Sotiriadis. Design of a Low-Power Analog Integrated Deep Convolutional Neural Network. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2025.
  46. V. Alimisis, M. M. Al Sidani, R. Younes, K. Cheliotis, P. P. Sotiriadis, J. Possik, C. Yaacoub, R. A. Z. Daou. Detection of Multiple Sclerosis Based on MRI Images using a Low-Power Analog Integrated Artificial Neural Networks. ACTEA, 2025.
  47. A. V. Doumas. Dixie Cup Problem in an Interlacing Process. Methodology and Computing in Applied Probability, 2025.
  48. D. I. Bondar, L. Balada Gaggioli, G. Korpas, J. Marecek, J. Vala, K. Jacobs. Globally optimal control of quantum dynamics. Physical Review Research, 2025.
  49. O. S. Chlapanis, D. Galanis, N. Aletras, I. Androutsopoulos. GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations. Findings of EMNLP, 2025.
  50. A. Brofas, M. Zampetakis, F. K. Diakonos. Hypercontractivity and factorial moment scaling in the symmetry broken phase. Physics Letters B, 2025.
  51. E. Peristeri, K. Drakoulaki, A. Boznou, M. Nerantzini, S. Varlokosta. Linguistic Markers of Autism Spectrum Disorder in Narrative Production: Evidence From the Monkey Cartoon Storytelling Task of the Autism Diagnostic Observation Schedule. Autism & Developmental Language Impairments, 2025.
  52. V. Alimisis, A. Mylona, K. Cheliotis, V. Moustakas, C. Dimas, P. P. Sotiriadis. Low-Power ECG Anomaly Detector Using an Area-Efficient Artificial Neural Network. SOCC, 2025.
  53. P. Kazakopoulos, A. L. Moustakas. Mutual information expression for the nonlinear Schrödinger channel in the low-noise limit using scattering data. Physical Review E, 2025.
  54. A. Mathioudaki, G. Tsaousoglou, E. Varvarigos, D. Fotakis. Online Menu-Based Scheduling of Electric Vehicle Charging. IEEE Transactions on Smart Grid, 2025.
  55. M. Kontalexi, A. Gelastopoulos, P. P. Analytis. Social Influence Distorts Ratings in Online Interfaces. WWW Companion, 2025.
  56. K. Drakoulaki, C. Anagnostopoulou, M. T. Guasti, G. Mikros, B. Tillmann, S. Varlokosta. Unveiling Predictors of Beat Perception and Rhythm Discrimination in Typically Developing Preschoolers. Music & Science, 2025.
  57. V. Alimisis, C. Dimas, A. Papathanasiou, S. Leventikidis, P. P. Sotiriadis. A Low-Power Analog Integrated Artificial Neural Networks for Electrical Impedance Tomography Stroke Classification. ICM, 2024.
  58. V. Alimisis, C. Dimas, P. P. Sotiriadis. A Power-Efficient, Analog Integrated, Sigmoid-Based Edge Detector. ICM, 2024.
  59. I. Chiotis, A. L. Moustakas. A sequential UE selection scheme for User-Centric Communications employing Radio Stripes. SPAWC, 2024.
  60. A. Abbas, A. Ambainis, B. Augustino, A. Bärtschi, H. Buhrman, C. Coffrin, G. Cortiana, V. Dunjko, D. J. Egger, B. G. Elmegreen, N. Franco, F. Fratini, B. Fuller, J. Gacon, C. Gonciulea, S. Gribling, S. Gupta, S. Hadfield, R. Heese, G. Kircher, T. Kleinert, T. Koch, G. Korpas, S. Lenk, J. Marecek, V. Markov, G. Mazzola, S. Mensa, N. Mohseni, G. Nannicini, C. O'Meara, E. P. Tapia, S. Pokutta, M. Proissl, P. Rebentrost, E. Sahin, B. C. B. Symons, S. Tornow, V. Valls, S. Woerner, M. L. Wolf-Bauwens, J. Yard, S. Yarkoni, D. Zechiel, S. Zhuk, C. Zoufal. Challenges and opportunities in quantum optimization. Nature Reviews Physics, 2024.
  61. A. L. Moustakas, G. C. Alexandropoulos. MIMO MAC Empowered by Reconfigurable Intelligent Surfaces: Capacity Region and Large System Analysis. IEEE Transactions on Wireless Communications, 2024.
  62. V. Alimisis, E.-A. Serlis, A. Papathanasiou, N. P. Eleftheriou, P. P. Sotiriadis. Power-efficient analog hardware architecture of the learning vector quantization algorithm for brain tumor classification. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024.
  63. I. Chiotis, A. L. Moustakas. Uplink Performance Optimization of Limited-Capacity Radio Stripes. IEEE Transactions on Wireless Communications, 2024.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

Greece 2.0 – Funded by the European Union – NextGenerationEU

 

 

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