Publications

  1. J. Oldfield, C. Tzelepis, Y. Panagakis, M. Nicolaou, and I. Patras, Parts of Speech–Grounded Subspaces in Vision-Language Models, Advances in Neural Information Processing Systems, vol 36, 2024
  2. L. Kavouras, K. Tsopelas, G. Giannopoulos, D. Sacharidis, E. Psaroudaki, N. Theologitis, D. Rontogiannis, D. Fotakis, and I. Emiris, Fairness Aware Counterfactuals for Subgroups, NeurIPS 2023, 2023
  3. G. Christodoulou, A. Fiat, E. Koutsoupias, and A. Sgouritsa, Fair Allocation in Graphs, EC 2023, 2023
  4. G. Christodoulou, E. Koutsoupias, and A. Kovacs, A Proof of the Nisan-Ronen Conjecture, STOC 2023, 2023
  5. G. Christodoulou, C. Caragiannis, and N. Protopapas, Impartial Selection with Prior Information, THEWEBCONF 2023, 2023
  6. K. Lotidis, P. Mertikopoulos, N. Bambos, and J. Blanchet, Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games, NeurIPS 2023, 2023
  7. I. Sakos, E. Vlatakis, P. Mertikopoulos, and G. Piliouras, Exploiting Hidden Structures in Non-convex Games for Convergence to Nash Equilibrium,  NeurIPS 2023, 2023
  8. Y.-P. Hsieh, M. R. K. Jaghargh, A. Krause, and P. Mertikopoulos, Riemannian Stochastic Optimization Methods Avoid Strict Saddle Points,  NeurIPS 2023, 2023
  9. K. Lotidis, P. Mertikopoulos, and N. Bambos, The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games, CDC 2023, 2023
  10. F. Faisal, O. Ahia, A. Srivastava, K. Ahuja, D. Chiang, Y. Tsvetkov, and A. Anastasopoulos, DialectBench: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages, under review for NAACL’23.
  11. J. Otten, C. Raj, F. Faisal, S. S. Akter, A. Acharya, A. Mukherjee, A. Dimakis, J. Mbuya, K. T. Baghaei, S. Blouir, M. Agarwal, N. Krasner, P. Bhandari, R. Hirave, Md M. i Alam, S. Ahmadi, Z. Yao, and A. Anastasopoulos, On the Evaluation of Large Language Models: Issues and a Path Towards Trustworthiness, under review for NAACL’23
  12. N. Haghtalab, C. Podimata, and K. Yang, Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents, NeurIPS 2023, 2023
  13. K. Harris, C. Podimata, and S. Z. Wu, Strategic Apple Tasting, NeurIPS 2023, 2023
  14. K. Harris, A. Agrawal, C. Podimata, and S. Z. Wu, Strategyproof Decision-Making in Panel Data Settings and Beyond, in SIGMETRICS 2023
  15. J. Dai, B. Flanigan, N. Haghtalab, M. Jagadeesan, and C. Podimata, Can Probabilistic Feedback Drive User Impacts in Online Platforms?, AISTATS 2024, 2024
  16. G. Alonistiotis, A. Antonopoulos, N. Melissinos, A. Pagourtzis, S. Petsalakis, and M. Vasilakis, Approximating Subset Sum Ratio via Partition Computations, Acta Informatica, 2024
  17. L. Gourves and A. Pagourtzis, Removable Online Knapsack with Bounded Size Items, Proceedings of the 49th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2024), Germany, 2024. Proceedings to appear in LNCS 14519, Springer Switzerland.
  18. G. Amanatidis, S. Klumper, E. Markakis, G. Schäfer, and A. Tsikiridis, Partial Allocations in Budget-Feasible Mechanism Design: Bridging Multiple Levels of Service and Divisible Agents, WINE 2023, 2023
  19. G. Papanastasiou, N. Dikaios, J. Huang, C. Wang, and G. Yang, Is Attention All You Need in Medical Image Analysis? A Review, Journal of Biomedical Health Informatics, 2023
  20. G. Amanatidis, A. Filos-Ratsikas, P. Lazos, E. Markakis, and G. Papasotiropoulos, On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes,  AAMAS 2024, 2024. Forthcoming.
  21. G. Amanatidis, G. Birmpas, F. Fusco, P. Lazos, S. Leonardi, and R. Reiffenhäuser, Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness, Mathematics of Operations Research. Forthcoming.
  22. G. Amanatidis, G. Birmpas, A. Filos-Ratsikas, and A. Voudouris, Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond, SIAM Journal on Discrete Mathematics. Forthcoming.
  23. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, and R. Reiffenhäuser, Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria, EC 2023: Proceedings of the 24th ACM Conference on Economics and Computation, 2023.
  24. C. Caramanis, D. Fotakis, A. Kalavasis, V. Kontonis, and C. Tzamos, Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods, NeurIPS 2023, 2023
  25. E. Pitoura, Pagerank Fairness in Networks, EWAF 2023, Switzerland, 2023
  26. L. Zafeiriou, E. Pitoura, and P. Tsaparas, Counterfactual Explanations for Recommendations Bias, Proceeding of the 3rd Workshop on Bias and Fairness in AI in conjunction with ECMP/PKDD, Italy, 2023
  27. G. Kourmouli, A. Kostagiolas, Y. Panagakis, and M. Nicolaou, Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs,  IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024
  28. M. Plitsis, T. Kouzelis, G. Paraskevopoulos, V. Katsouros, and Y. Panagakis, Investigating Personalization Methods in Text to Music Generation, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 2024. Accepted for publication.
  29. N. Patris, S. Stavroulakis, F. Kalogiannis, R. Zhang, and I. Panageas, Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints, AAAI 2024
  30. I. Anagnostides, I. Panageas, G. Farina, and T. Sandholm, Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property, AAAI 2024, 2024
  31. N. Patris and I. Panageas, Learning Nash Equilibria in Rank-1 Games: Going beyond the Minty Property, ICLR 2024, 2024
  32. I. Fotis, G. Touloumes, J. Lombardo, M. Markaki, M. Papadopouli, and S. M. Smirnakis, Characterization of the Dynamics of Neuronal Engagement to the Micro-Progression of Acute Seizures in Mouse Cortical Circuits, submitted to AREADNE Symposium on Research in Encoding and Decoding of Neural Ensembles, 2024
  33. M. A. Savaglio, C. Brozi, E. Psilou, C. Koumpouz, C. Vasilakos, S. Nessis, E. Smyrnakis, V. Akoutas, E. Koniotakis, G. Keliris, G. Palagina, S. Smirnakis, and M. Papadopouli, Motion Direction Decoding in Mouse V1: Predictive Power Relates to Functional Connectivity Organization, submitted to AREADNE Symposium on Research in Encoding and Decoding of Neural Ensembles, 2024
  34. S. Gidaris, A. Bursuc, O. Simeoni, A. Vobecky, N. Komodakis, M. Cord, and P. Pérez, MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments, TMLR 2024, 2024
  35. I. Stogiannidis, S. Vassos, P. Malakasiotis, and 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, Association for Computational Linguistics, 2023
  36. Y. Xu, J. Lei, and K. Daniilidis, $SE(3)$ Equivariant Convolution and Transformer in Ray Space, NeurIPS 2023, 2023
  37. J. Lei, C. Deng, B. Shen, L. Guibas, and K. Daniilidis, NAP: Neural 3D Articulated Object Prior, NeurIPS 2023, 2023
  38. C. Deng, J. Lei, B. Shen, K. Daniilidis, and L. Guibas, Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance, NeurIPS 2023, 2023
  39. P. Kaliosis, J. Pavlopoulos, F. Charalampakos, G. Moschovis, I. Androutsopoulos, A data-driven guided decoding mechanism for diagnostic captioning, in: Findings of the Association for Computational Linguistics: (ACL) 2024.C. Fragkathoulas, V. Papanikou,
  40. D. Pla Karidi, E. Pitoura, On Explaining Unfairness: An Overview, ICDEW 2024, 2024
  41. D. Mastropietro, G. Korpas, V. Kungurtsev, J. Marecek, Fleming-Viot helps speed up variational quantum algorithms in the presence of barren plateaus, submitted to Quantum-journal.org, 2024
  42. J. Conradi, B. Kolbe, I. Psarros, D. Rohde, Fast Approximations and Coresets for (k,𝓁)-Median Under Dynamic Time Warping, 40th International Symposium on Computational Geometry (SoCG 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 293, pp. 42:1-42:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024
  43. 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
  44. A. Dimakis, S. Markantonatou, A. Anastasopoulos, Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages, Findings of the Association for Computational Linguistics (ACL), 2024
  45. 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, Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2024.
  46. T. Zhang, K. Yang, S. Ji, B. Liu, Q. Xie, S. Ananiadou, SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
  47. Q. Xie, X. Liu, Y. Yu, D. Li, B. Wang, A. Lopez-Lira, Y. Lai, M. Peng, S. Ananiadou, H. Wang, J. Huang, Z. Chen, R. Xiang, V. Somasundaram, K. Yang, C. Yuan, Z. Luo, Z. Liu, Y. He, Y. Jiang, H. Li, D. Feng, Financial Challenges in Large Language Models - FinLLM, Workshop and Shared task at IJCAI-2024, 2024
  48. V. Perifanis, E. Karypidis, N. Komodakis, and P. Efraimidis, SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion, EICC 2024, 2024 (Best Paper Award)
  49. S. Markantonatou, V. Stamou, C. Christodoulou, G. Apostolopoulou, A. Balas, and G. Ioannakis, The Corpus AIKIA: Using Ranking Annotation for Offensive Language Detection in Modern Greek, LREC-COLING 2024, 2024
  50. Z. Luo, Q. Xie, S. Ananiadou, Factual consistency evaluation of summarisation in the Era of large language models, Expert Systems with Applications, 2024
  51. A. Toumazatos, J. Pavlopoulos, I. Androutsopoulos and S. Vassos, Still all Greeklish to me: Greeklish to Greek Transliteration, Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, pp. 15309-15319, 2024
  52. O. Chlapanis, I. Androutsopoulos and D. Galanis, Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval 2024) of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico, 2024
  53. N. Gkouti, P. Malakasiotis, S. Toumpis and I. Androutsopoulos, Should I Try Multiple Optimizers when Fine-tuning Pre-trained Transformers for NLP tasks? Should I Tune their Hyperparameters?, EACL 2024, 2024
  54. J. Pavlopoulos, R. Sandell, M. Konstantinidou, and C. Bozzone, HoLM: Analyzing the Linguistic Unexpectedness in Homeric Poetry, In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 8166-8172. 2024
  55. J. Pavlopoulos and A. Likas, Polarized Opinion Detection Improves the Detection of Toxic Language, In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1946-1958. 2024
  56. C. Vlachos, T. Stafylakis and I. Androutsopoulos, Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems, Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, (ACL 2024), Bangkok, Thailand, 2024
  57. T. Melistas, N. Spyrou, N. Gkouti, P. Sanchez, A. Vlontzos, Y. Panagakis, G. Papanastasiou, S. A. Tsaftaris, Benchmarking Counterfactual Image Generation NeurIPS, 2024
  58. 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, 2024
  59. X. Zhang, R. Xiang, C. Yuan, D. Feng, W. Han, A. Lopez-Lira, X. 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, 2024
  60. J. Pavlopoulos, M. Konstantinidou, E. Perdiki, I. Marthot-Santaniello, H. Essler, G. Vardakas, A. Likas, Explainable dating of greek papyri images, Machine Learning, 2024
  61. P. Koromilas, G. Bouritsas, T. Giannakopoulos, M. Nicolaou, Y. Panagakis, Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses, ICML 2024, PMLR 235:25276-25301
  62. P. Kampaktsis, T. Bohoran, M. Lebehn, L. McLaughlin, J. Leb, S. Moustakidis, R. Hahn, A. Giannakidis, A 2D echocardiographic method for accurate right ventricular quantification using deep learning, In Proceedings of the European Society of Cardiology Conference, 2024
  63. A. Siouras, S. Moustakidis,G. Chalatsis, 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 vol 117, 2024
  64. X. Xing, S. Murdoch, C. Tang, G. Papanastasiou, J. Cross-Zamirski, Y. Guo, X. Xiao, C. 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 (Elsevier), 2024
  65. 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, Nature Communications Medicine (Nature portfolio), 2024
  66. I. Kakogeorgiou, S. Gidaris, K. Karantzalos, and N. Komodakis, SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers, CVPR 2024, 2024 (CVPR 2024 Highlight)
  67. E. Bakali, A. Chalki, S. Kanellopoulos, A. Pagourtzis, S. Zachos, On the Power of Counting the Total Number of Computation Paths of NPTMs, Proceedings of the 18th Annual Conference on Theory and Applications of Models of Computation (TAMC 2024), LNCS 14637: 209-220, Springer, 2024.
  68. C. Guille-Escuret, H. Naganuma, K. Fatras, I. Mitliagkas, No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths, ICML 2024
  69. C. Guille-Escuret, P. Noel, I. Mitliagkas, D. Vazquez, J. Monteiro, Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection, NeurIPS 2024
  70. K. Bringmann, N. Fischer, V. Nakos, Beating Bellman's Algorithm for Subset Sum, Symposium on Discrete Algorithms, SODA 2024, 2024
  71. N. Ananthakrishnan, N. Haghtalab, C. Podimata, K. Yang, Is knowledge power? On the (im)possibility of learning from strategic interactions, NeurIPS 2024, 2024
  72. P. Jaillet, C. Podimata, A. Vakhutinsky, Z. Zhou, When should you offer an upgrade? Online upgrading mechanisms for resource allocation, WINE 2024, 2024
  73. P. Jaillet, C. Podimata, Z. Zhou, Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management, WINE 2024, 2024
  74. G. Christodoulou, A. Sgouritsa, I. Vlachos, Mechanism Design augmented with output advice, NeurIPS 2024, 2024 (NeurIPS Spotlight Poster)
  75. D. Chee Hian Tan, D. Chanin, A. Lynch, B. Paige, D. Kanoulas, A. Garriga-Alonso, R. Kirk, Analysing the Generalisation and Reliability of Steering Vectors, NeurIPS 2024, 2024
  76. V. Kontonis, M. Ma, C. Tzamos, Active Classification with Few Queries under Misspecification, NeurIPS 2024, 2024 (NeurIPS Spotlight Poster)
  77. C. Caramanis, N. Tsikouras, C. Tzamos, Optimization Can Learn Johnson Lindenstrauss Embeddings, NeurIPS 2024, 2024
  78. Y. Xu, D. Chen, K. Liu, S. Zakharov, R. Ambrus, K. Daniilidis, V. Campagnolo Guizilini, SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation, NeurIPS 2024, 2024
  79. 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, 2024
  80. S. Pertigkiozoglou, E. Chatzipantazis, S. Trivedi, K. Daniilidis, Improving Equivariant Model Training via Constraint Relaxation, NeurIPS 2024, 2024
  81. V. Kungurtsev, G. Korpas, J. Marecek, and E. Yechao Zhu, Iteration Complexity of Variational Quantum Algorithms, Quantum Open Journal for Quantum Science, 2024
  82. I. Panageas, T. Trobst, V. Vazirani, Time-Efficient Algorithms for Nash-Bargaining-Based Matching Market Models, WINE 2024, 2024
  83. X. Xing, C. Tang, S. Murdoch, G. Papanastasiou, Y. Guo, X. Xiao, J. Cross-Zamirski, C.B. Schönlieb, K. Xiao Liang, Z. Niu, E. Fei Fang, Y. Wang, G. Yang, Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion, Neurocomputing, 2024
  84. H. Choudhary, C. Gupta, V. Kungrutsev, M. Leok, G. Korpas, Learning Generalized Hamiltonians using fully Symplectic Mappings, preprint
  85. J. Cui, P. J.S. de Brouwer, S. Herbert, P. Intallura, C. Kargi, G. Korpas, A. Krajenbrink, W. Shoosmith, I. Williams, B. Zheng, Quantum Monte Carlo Integration for Simulation-Based Optimisation, preprint
  86. P. Rytir, A. Wodecki, G. Korpas, J. Marecek, ExDBN: Exact learning of Dynamic Bayesian Networks, preprint
  87. V. Bohun, I. Lukin, M. Luhanko, G. Korpas, P. J.S. De Brouwer, M. Maksymenko, M. Koch-Janusz, Scalable and shallow quantum circuits encoding probability distributions informed by asymptotic entanglement analysis, preprint
  88. I. Psarros, D. Rohde, Random projections for curves in high dimensions, Discrete & Computational Geometry, 2024
  89. J. Oldfield, M. Georgopoulos, G. Chrysos, C. Tzelepis, Yannis Panagakis, M. Nicolaou, J. Deng, I. Patras, Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization, NeurIPS, 2024
  90. A. Assos, Y. Dagan, C. Daskalakis, Maximizing utility in multi-agent environments by anticipating the behavior of other learners, NeurIPS, 2024
  91. F. Kalogiannis, J. Yan, I. Panageas, Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem, NeurIPS, 2024
  92. D. Legacci, P. Mertikopoulos, C. H. Papadimitriou, G. Piliouras, and B. S. R. Pradelski, No-regret learning in harmonic games: Extrapolation in the presence of conflicting interests, NeurIPS, 2024 (NeurIPS Spotlight Poster)
  93. C. Guille-Escuret, H. Naganuma, K. Fatras, I. Mitliagkas, No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths, ICML'24: Proceedings of the 41st International Conference on Machine Learning, 2024
  94. K. Lotidis, A. Giannou, P. Mertikopoulos, and N. Bambos, Accelerated regularized learning in finite Ν-person games, NeurIPS, 2024
  95. R. Hakim, A.-A. Stoica, C. Papadimitriou, M. Yannakakis, The Fairness-Quality Tradeoff in Clustering , NeurIPS, 2024
  96. Y. Xu, D. Chen, K. Liu, S. Zakharov, R. Andrei Ambrus, K. Daniilidis, V. Campagnolo Guizilini, $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation, NeurIPS, 2024
  97. A. Mehrotra, M. Zampetakis, P. Kassianik, B. Nelson, H. S Anderson, Y. Singer, A. Karbasi, Tree of Attacks: Jailbreaking Black-Box LLMs Automatically, NeurIPS, 2024
  98. R. Costales, S. Nikolaidis, Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity, NeurIPS, 2024
  99. A. Kalavasis, A. Karbasi, A. Oikonomou, K. Sotiraki, G. Velegkas, M. Zampetakis, Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models, NeurIPS, 2024
  100. F. Babiloni, A. Lattas, J. Deng, S. Zafeiriou, ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling, NeurIPS, 2024
  101. T. Moutakanni, M. Oquab, M. Szafraniec, M. Vakalopoulou, P. Bojanowski, You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning, NeurIPS, 2024
  102. J. Kwon, S. Mannor, C. Caramanis, Y. Efroni, RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation, NeurIPS, 2024
  103. G. Daras, W. Nie, K. Kreis, A. Dimakis, M. Mardani, N. Borislavov Kovachki, A. Vahdat, Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models, NeurIPS, 2024
  104. V. Lingam, A. Tejaswi Neerkaje, A. Vavre, A. Shetty, G. Krishna Gudur, J. Ghosh, E. Choi, A. Dimakis, A. Bojchevski, S. Sanghavi, SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors, NeurIPS, 2024
  105. J. Li, A. Fang, G. Smyrnis, M. Ivgi, M. Jordan, S. Yitzhak Gadre, H. Bansal, E. Kumar Guha, S. Keh, K. Arora, S. Garg, R. Xin, N. Muennighoff, R. Heckel, J. Mercat, M. F Chen, S. Gururangan, M. Wortsman, A. Albalak, Y. Bitton, M. Nezhurina, A. Kamal Mohamed Abbas, C. Hsieh, D. Ghosh, J. P Gardner, M. Kilian, H. Zhang, R. Shao, S. M Pratt, S. Sanyal, G. Ilharco, G. Daras, K. Marathe, A. Gokaslan, J. Zhang, K. Chandu, T. Nguyen, I. Vasiljevic, S. M. Kakade, S. Song, S. Sanghavi, F. Faghri, S. Oh, L. Zettlemoyer, K. Lo, A. El-Nouby, H. Pouransari, A. T Toshev, S. Wang, D. Groeneveld, L. Soldaini, P. Wei Koh, J. Jitsev, T. Kollar, A. Dimakis, Y. Carmon, A. Dave, L. Schmidt, V. Shankar, DataComp-LM: In search of the next generation of training sets for language models, NeurIPS, 2024
  106. D. Ravikumar, E. Soufleri, K. Roy, Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature, NeurIPS, 2024
  107. K. Yang, Z. Liu,Q. Xie,J. Huang,T. Zhang, A. Sophia, MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, NeurIPS, 2024
  108. G. Guruganesh, Y. Kolumbus, J. Schneider, I. Talgam-Cohen, E. Vlatakis-Gkaragkounis, J. R. Wang, S. Matthew Weinberg, Contracting with a Learning Agent, NeurIPS, 2024
  109. Y. Wang, D. Feng, Y. Dai, Z. Chen, J. Huang, S. Ananiadou, Q. Xie, H. Wang, HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection, NeurIPS, 2024
  110. Q. Xie, W. Han, Z. Chen, R. Xiang, X. Zhang, Y. He, M. Xiao, D. Li, Y. Dai, D. Feng, Y. Xu, H. Kang, Z. Kuang, C. Yuan, K. Yang, Z. Luo, T. Zhang, Z. Liu, G. Xiong, Z. Deng, Y. Jiang, Z. Yao, H. Li, Y. Yu, G. Hu, J. Huang, X. Liu, A. Lopez-Lira, B. Wang, Y. Lai, H. Wang, M. Peng, S. Ananiadou, J. Huang FinBen: An Holistic Financial Benchmark for Large Language Models, NeurIPS, 2024
  111. 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 16:99, 2025
  112. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, and R. Reiffenhäuser. Algorithmically Fair Maximization of Multiple Submodular Objectives, AAMAS 2025, 2025
  113. G. Amanatidis, F. Fusco, R. Reiffenhäuser, and A. Tsikiridis. Pandora's Box Problem Over Time, WINE 2024, 2024
  114. G. Amanatidis, A. Filos-Ratsikas, and A. Sgouritsa. Pushing the Frontier on Approximate EFX Allocations. EC 2024: 25th ACM conference on Economics and Computation, 2024
  115. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, and R. Reiffenhäuser. Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria. Mathematics of Operations Research, 2024
  116. G. Amanatidis, P. Kleer. Approximately Sampling and Counting Graphs with Near-Regular Degree Intervals. SIAM Journal on Discrete Mathematics, 38(4): 2812-2840, 2024
  117. D. Gwillym Jenkins, V. Heller, A. Giannakidis, Comprehensive prediction of subaerial landslide-tsunamis via slide modeland water body geometry-invariant machine learning techniques, Ocean Engineering Volume 320, March 2025
  118. F. Zardbani, K. Lampropoulos, N. Mamoulis, P. Karras, Updating an Adaptive Spatial Index, ICDE 2025, 2025
  119. 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, 2025
  120. 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
  121. I. Caragiannis, G. Christodoulou, N. Protopapas, Truthful aggregation of budget proposals with proportionality guarantees, Artificial Intelligence, Volume 335, 104178, 2024
  122. B. Marani, M. Hanini, N. Malayarukil, S. Christodoulidis, M. Vakalopoulou, E. Ferrante, ViG-Bias: Visually Grounded Bias Discovery and Mitigation, European Conference on Computer Vision, 2024
  123. K. Alexis, S. Christodoulidis, D. Gunopulos, M. VakalopoulouDiffusion models for nuclei segmentation in low data regimes, International Symposium on Biomedical Imaging, 2024
  124. N. Protopapas, V. Yazdanpanah, E. H. Gerding, S. Stein, Online Decentralised Mechanisms for Dynamic Ridesharing, AAMAS 2024 (1602-1610), 2024
  125. J. Pavlopoulos, G. Vardakas, A. Likas, Revisiting Silhouette Aggregation, DS 2024, 2024, (Best Paper Runner Up Award)
  126. J. Pavlopoulos, P. Louridas, P. Filos, Towards a Greek Proverb Atlas: A Computational Spatial Exploration and Attribution of Greek Proverbs, EMNLP 2024, 2024
  127. K. Randl, J. Pavlopoulos, A. Henriksson, T. Lindgren, Evaluating the Reliability of Self-Explanations in Large Language Models, DS 2024, 2024
  128. V. Alimisis, C. Dimas, P.P. Sotiriadis, A Power-Efficient, Analog Integrated, Sigmoid-Based Edge Detector, ICM 2024, 2024
  129. 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, 2024
  130. V. Alimisis, C. Dimas, A. Papathanasiou, P.P. Sotiriadis, An Analog Integrated Relu-based Neural Networks for Water Quality Classification, ICM 2024, 2024
  131. 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, VLSI 2024, 2024
  132. A. Poulis, E. Tsalapati, M. Koubarakis, Transformers in the Service of Description Logic-based Contexts, 24th International Conference on Knowledge Engineering and Knowledge Management, 2024
  133. A. Poulis, E. Tsalapati, M. Koubarakis, Transformer-based Language Models for Reasoning in the Description Logic ALCQ, NeLaMKRR 2024, 2024
  134. J. H. Lee, A. Mehrotra, and M. Zampetakis, Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians, FOCS 2024, 2024
  135. Sergios-Anestis Kefalidis, Konstantinos Plas, George Stamoulis, Dharmen Punjani, Pierre Maret and Manolis Koubarakis, Developing geospatial web applications using question answering engines, knowledge graphs and linked data tools.The 25th International Web Information Systems Engineering conference, 2024
  136. D. Soumis, G. Stamoulis, M. Koubarakis, A Visual Query Builder for DBpedia>, The 25th International Web Information Systems Engineering conference, 2024
  137. T. Johnston, I.Lytras, S.Sabanis, Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case, Journal of Complexity, 2024
  138. E. Markakis, C. Santorinaios, Improved EFX Approximation Guarantees under Ordinal-based Assumptions, AAMAS 2023, 2023
  139. I. Androutsopoulos, T. Evgeniou, J. Pavlopoulos, K. Korre, D. Myrtzani, N. C. Gkoumas, D. Tsirmpas, Facilitation of Online Discussions in the LLM Era: A Survey Proposal, Journal of Computational Linguistics
  140. V. Christoforidis, C. Santorinaios, On The Pursuit of EFX for Chores: Non-Existence and Approximations, IJCAI 2024, 2024
  141. D. Karpontinis, G.Alexandridis, Transformer-Based Anomaly Detection in Energy Consumption Data, IFIP International Conference on Artificial Intelligence Applications and Innovations, 2024
  142. 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, Proceedings of the Natural Legal Language Processing Workshop 2024, 2024
  143. I. Chasandras, O. S. Chlapanis, I. Androutsopoulos, AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?, In Proceedings of the 1st International Workshop on Regulatory Natural Language Processing (RegNLP) 2025, 2025
  144. C. Fragkathoulas, O. S. Chlapanis, Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs, SETN 2024, 2024
  145. D. Pla Karidi, E. Pitoura, Path-based summary explanations for graph recommenders, ICDE 2025, 2025
  146. P.D. Kaklis, S. Stamatelopoulos, A.-A.I. Ginnis, Shape-preserving interpolation on surfaces via variable-degree splines, Dagstuhl Seminar 24241 Geometric modeling: Challenges for Additive Manufacturing, Design and Analysis, 2024
  147. A. Michalopoulos, D. Tsitsigkos, P. Bouros, N. Mamoulis and M. Terrovitis, Efficient Distance Queries on Non-point Data, ACM Transactions on Spatial Algorithms and Systems, 2024
  148. A. Kontogiannis, V. Pollatos, S. Kanellopoulos, P. Mertikopoulos, A. Pagourtzis, and I. Panageas, The Computational Complexity of Finding Second-Order Stationary Points, ICML 2024, 2024
  149. W. Azizian, F. Iutzeler, J. Malick, and P. Mertikopoulos, What is the long-run distribution of stochastic gradient descent? A large deviations analysis, ICML 2024, 2024
  150. D. Legacci, P. Mertikopoulos, and B. S. R. Pradelski, A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights, ICML 2024, 2024
  151. W. Azizian, F. Iutzeler, J. Malick, and P. Mertikopoulos, The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness, SIAM Journal on Optimization, vol. 34, no. 3, pp. 2440-2471, September 2024, 2024
  152. P. Mertikopoulos and W. H. Sandholm, Nested replicator dynamics, nested logit choice, and similarity-based learning, Journal of Economic Theory, vol. 220, p. 105881, September 2024, 2024
  153. G. Christodoulou, A. Sgouritsa, An Improved Upper Bound for the Universal TSP on the Grid, SIAM Journal on Computing, 2024
  154. K. Karatapanis, V. Kontonis, C. Tzamos, Oracle Efficient Truncated Stastics, ICLR 2025, 2025
  155. T. Kouzelis, M. Plitsis, M. A. Nicolaou, Y. Panagakis, Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis, BMVC 2024, 2024
  156. 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
  157. I. Kalogeropoulos, G. Bouritsas, Y. Panagakis, Scale Equivariant Graph Metanetworks, NeurIPS 2024, 2024 (NeurIPS Oral Presentation)
  158. 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, 2024
  159. 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
  160. M. Plitsis, T. Kouzelis, G. Paraskevopoulos, V. Katsouros, Y. Panagakis, Investigating personalization methods in text to music generation, ICASSP 2024, 2024
  161. 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, 2024
  162. K. Barmpas, G. Zoumpourlis, Y. Panagakis, D. Adamos, N. Laskaris, S. Zafeiriou, Position: Addressing Ethical Challenges and Safety Risks in GenAI-Powered Brain-Computer Interfaces, NeurIPS workshop on GenAI for Health: Potential, Trust and Policy Compliance , 2024
  163. A. Zamanos, P. Koromilas, G. Bouritsas, P. L Kastritis, Y. Panagakis, Towards generalizable particle picking in Cryo-EM images by leveraging Masked AutoEncoders, ICML 2024 Workshop on Efficient and Accessible Foundation Models for Biological Discovery, 2024
  164. Y. Panagakis, J. Kossaifi, G. G Chrysos, J. Oldfield, T. Patti, M. A Nicolaou, A. Anandkumar, S. Zafeiriou, Tensor methods in deep learning, Signal Processing and Machine Learning Theory, 2024
  165. A. Kuratomi Hernandez, Z. Lee, G. Dinis Chaliane Junior, T. Lindgren, P. Papapetrou, E. Pitoura, P. Tsaparas, CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification, ICDM, 2024
  166. C. Fragkathoulas, V. Papanikou, E. Pitoura, E. Terzi, FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness, Submitted at PKDD/ECML, 2025
  167. I. Chiotis and Moustakas, A. L., Mutual Information Optimization for Cell-Free Massive MIMO with Sequential Limited-Rate Fronthaul, 2024 IEEE Middle East Conference in Communications and Networking, 2024
  168. A. L. Moustakas and Alexandropoulos, G. C., MIMO MAC Empowered by Reconfigurable Intelligent Surfaces: Capacity Region and Large System Analysis, IEEE Transactions on Wireless Communications, 2024
  169. I. Chiotis and A. L. Moustakas, A sequential UE selection scheme for User-Centric Communications employing Radio Stripes, IEEE SPAWC 2024 pp. 161-165, 2024
  170. T. G. Tsironis and 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, vol. 109, no. 6, pp. 064114, 2024
  171. I. Chiotis and A. L. Moustakas, Uplink Performance Optimization of Limited-Capacity Radio Stripes, IEEE Transactions on Wireless Communications, 2024
  172. 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. ZoufalChallenges and opportunities in quantum optimization, published at Nature Reviews Physics, 2024
  173. F. Hamann, Z. Wang, I. Asmanis, K. Chaney, G. Gallego, K. Daniilidis, Motion-Prior Contrast Maximization for Dense Continuous-Time Motion Estimation, Computer Vision – ECCV 2024 (Vol. 15061, pp. 18–37), 2024
  174. W. Jiang, B. Lei, K. Daniilidis, FisherRF: Active View Selection and Mapping with Radiance Fields Using Fisher Information, Computer Vision – ECCV 2024 (Vol. 15071, pp. 422–440), 2024
  175. A. Kratimenos, J. Lei, K. Daniilidis, DynMF: Neural Motion Factorization for Real-Time Dynamic View Synthesis with 3D Gaussian Splatting, Computer Vision – ECCV 2024 (Vol. 15137, pp. 252–269), 2024
  176. J. Lei, Y. Wang, G. Pavlakos, L. Liu, K. Daniilidis, GART: Gaussian Articulated Template Models, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 19876–19887, 2024
  177. S. Pertigkiozoglou, E. Chatzipantazis, K. Daniilidis, BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration, Symmetry and Geometry in Neural Representations, 2024
  178. Y. Song, J. Lei, Z. Wang, L. Liu, K. Daniilidis, Track Everything Everywhere Fast and Robustly), Computer Vision – ECCV 2024 (Vol. 15061, pp. 343–359), 2024
  179. Y. Wang, Z. Wang, L. Liu, K. Daniilidis, TRAM: Global Trajectory and Motion of 3D Humans from in-the-Wild Videos, Computer Vision – ECCV 2024 (Vol. 15069, pp. 467–487), 2024
  180. Z. Wang, J. Guo, K. Daniilidis, Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation, Computer Vision – ECCV 2024 (Vol. 15074, pp. 228–245), 2024
  181. V. Kontonis, M. Ma, C. Tzamos, Active Learning with Simple Questions, 37th Annual Conference on Learning Theory, 2024
  182. I. Diakonikolas, D. Kane, V. Kontonis, C. Tzamos, N. Zarifis, Agnostically Learning Multi-index Models with Queries, 65th Annual IEEE Symposium on Foundations of Computer Science, 2024
  183. I. Diakonikolas, M. Ma, L. Ren, C. Tzamos, Fast Co-Training under Weak Dependence via Stream-Based Active Learning 41st International Conference on Machine Learning, 2024
  184. A. Atsidakou, C. Caramanis, E. Gergatsouli, O. Papadigenopoulos, C. Tzamos, Contextual Pandora's Box, AAAI Conference on Artificial Intelligence, 2024
  185. G. Amanatidis, M. Lampis, E. Markakis, G. Papasotiropoulos, On the Tractability Landscape of the Conditional Minisum Approval Voting Rule, Information Processing Letters, 189: 106561, 2025
  186. I. Lytras, P. Mertikopoulos, Tamed Langevin sampling under weaker conditions, in AISTATS ’25: Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, 2025
  187. I. Sarridis, C. Koutlis, S. Papadopoulos and C. Diou, FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 2, pp. 1148-1160, Feb. 2025, doi: 10.1109/TPAMI.2024.3487254, 2025
  188. 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, 2025
  189. A. Ashuri, V. Gkatzelis, and A. Sgouritsa, EF2X Exists For Four Agents, AAAI 2025, 2025 (AAAI Oral Presentation)
  190. L. Loukas, N. Smyrnioudis, Ch. 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, In Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations, 2025
  191. K. Skianis, A. Seza Dogruöz, J. Pavlopoulos, Leveraging LLMs for Translating and Classifying Mental Health Data, MRL 2024, 2024
  192. Z. Liu, X. Zhang, K. Yang, Q, Xie, J. Huang, S. Ananiadou, RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, DOI:10.48550/arXiv.2406.11093, 2024
  193. Z. Liu, B. Liu, P. Thompson, K. Yang, S. Ananiadou, ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, https://doi.org/10.3233/FAIA241060, 2024
  194. Z. Liu, X. Zhang, K. Yang, Q, Xie, J. Huang, S. Ananiadou, FMDLlama: Financial Misinformation Detection Based on Large Language Models, In Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), 2025
  195. V. Nakos, H. Ngo, Ch. Tsourakakis, Targeted Least Cardinality Candidate Key for Relational Databases, ICDT 2025, 2025
  196. T. Lin, P. Mertikopoulos, and M. I. Jordan, Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee, DOI:10.48550/arXiv.2210.12860 , 2024
  197. V. Bilò, V. Markakis, C. Vinci, Achieving Envy-Freeness through Items Sale, Proceedings of the 32nd Annual European Symposium on Algorithms, 2024
  198. F. Faisal, A. Anastasopoulos, Testing the Boundaries of LLMs: Dialectal and Language-Variety Tasks, In Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects, 2025
  199. J. Hus, A. Anastasopoulos, Back to School: Translation Using Grammar Books, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  200. A. Choi, S. Sabrina Akter, J.p. Singh, A. Anastasopoulos, The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  201. C. Raj, A. Mukherjee, A. Caliskan, A. Anastasopoulos, Z. Zhu, BiasDora: Exploring Hidden Biased Associations in Vision-Language Models, In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
  202. Md M. Ibn Alam, S. Ahmadi, A. Anastasopoulos, CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation, In Findings of the Association for Computational Linguistics: EACL 2024, 2024
  203. S. Ahmadi, D. Jaff, Md M. Ibn Alam, A. Anastasopoulos, Language and Speech Technology for Central Kurdish Varieties, In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
  204. M. Fore, S. Singh, C. Lee, A. Pandey, A. Anastasopoulos, D. Stamoulis, Unlearning Climate Misinformation in Large Language Models, In Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), 2024
  205. D. Fotakis, E. Gergatsouli, Th. Gouleakis, N. Patris, Th. Tolias, Improved Bounds for Online Facility Location with Predictions⋆, AAAI 2025, 2025 (AAAI Oral Presentation)
  206. D. Fotakis, L. Gourv`es, P. Patsilinakos, On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries, AAAI 2025, 2025 (AAAI Oral Presentation)
  207. E. Bampis, B. Escoffier, D. Fotakis, P. Patsilinakos, M. Xefteris, Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems, Submitted to ICML 2025, 2025
  208. D. Fotakis, A. Kalavas, I. Psarros, A Query-Driven Approach to Space-Efficient Range Searching, Submitted to ICML 2025, 2025
  209. A. Charalampopoulos, D. Fotakis, P. Patsilinakos, T. Tolias, A Competitive Posted-Price Mechanism for Online Budget-Feasible Auctions, Submitted to EC 2025, 2025
  210. U. Meyer, H. Tran, K. Tsakalidis, Certifying Induced Subgraphs in Large Graphs, WALCOM 2023, 2023
  211. C. Traoré, V. Apidopoulos, S. Salzo, S. Villa, Variance Reduction Techniques for Stochastic Proximal Point Algorithms, Journal of Optimization Theory and Applications, Volume 203, pages 1910–1939, 2024
  212. V. Apidopoulos, T. Poggio, L. Rosasco, S. Villa, Iterative regularization in classification via hinge loss diagonal descent, Inverse Problems, Volume 41, Number 3, 2025
  213. I. Lytras, S. Sabanis, Taming under isoperimetry, Stochastic Processes and Applications, 2025
  214. E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis, DINO-Foresight: Looking into the Future with DINO, https://doi.org/10.48550/arXiv.2412.11673, 2024
  215. J. Manesis, P. Mikeli, K. Kikaki, I. Kakogeorgiou, A. Karmas, K. Karantzalos, Detecting marine pollutants using Sentinel-1 SAR and Sentinel-2 optical imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 2024
  216. T. Kouzelis, I. Kakogeorgiou, S. Gidaris, N. Komodakis, EQ-VAE: Equivariance Regularization of VAE's Latent Space Improves Generative Image Modeling, https://doi.org/10.48550/arXiv.2502.09509, 2025
  217. S. Markantonatou, V. Stamou, S. Bompolas, K. Anastasopoulou, Y. Kazos, GUD: A new Modern Greek treebank enriched with VMWE annotations, MWE 2025, 2025
  218. S. Bompolas, D. Melissaropoulou, Understanding Dialectal Variation in Contact Scenarios Through Dialectometry: Insights from Inner Asia Minor Greek, Languages, 2025
  219. S. Markantonatou, S. Bompolas, C. Tsoukala, S. Vakirtzian, V. Stamou, A. Ralli, A. Anastasopoulos, Dialect-aware modelling for Modern Greek, MGDLT 2024, 2024
  220. S. Bompolas, Creating a UD treebank for a low-resourced Modern Greek dialect: The case of Lesbian, Paper presented at the 1st UniDive Training School, 2024
  221. 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, In Proceedings of the 11th Nordic Conference on Computational Linguistics (NoDaLiDa), 2024
  222. G. Papadoulis, D. Balla, P. Grontas, A. Pagourtzis, AQQUA: Augmenting Quisquis with Auditability, 23rd International Conference on Applied Cryptography and Network Security (ACNS 2025) , 2025
  223. P. Grontas, A. Pagourtzis, M. Spyrakou, Voting with coercion resistance and everlasting privacy using linkable ring signatures, 22st International Conference on Security and Cryptography SECRYPT, 2025
  224. E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis, Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers, CVPR 2025, 2025
  225. 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, 103553, 2025
  226. S. G. Nikolopoulou, B. Kalska-Szostkoc, A. Basac, 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
  227. A. Kontogiannis, K. Papathanasiou, Y. Shen, G. Stamou, M. Zavlanos, G. Vouros, Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration, International Conference on Machine Learning, 2025
  228. Sotiris Kanellopoulos, Giorgos Mitropoulos, Antonis Antonopoulos, Nikos Leonardos, Aris Pagourtzis, Christos Pergaminelis, Stavros Petsalakis, Kanellos Tsitouras, Approximation Schemes for k-Subset Sum Ratio and Multiway Number Partitioning Ratio, 2025
  229. D. Christou, G. Tsoumakas, Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains, Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025), 2025
  230. D. Tsirmpas and I. Androutsopoulos and J. Pavlopoulos, Scalable Evaluation of Online Facilitation Strategies via Synthetic Simulation of Discussions, 2025
  231. S. Markantonatou, V. Stamou, S. Bompolas, K. Anastasopoulou, I. Vasiliadi-Linardaki, K. Diamantopoulos, Y. Kazos, GUD:anewModernGreek treebank enriched with VMWE annotations, UniDive 3rd general meeting in Budapest, 2025
  232. 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), Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025), 2025
  233. 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, European Congress of Radiology (ECR), 2025
  234. 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., The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), Tallinn (Estonia), March 2–5, 2025
  235. G. Christodoulou, A. Fiat, E. Koutsoupias, A. Sgouritsa, EFX Allocations on Graphs, ACM Conference on Economics and Computation, 2023
  236. G. Christodoulou and V. Christoforidis, Fair and Truthful Allocations Under Leveled Valuations, Information Processing Letters, 2025
  237. 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
  238. C. Fragkathoulas, E. Pitoura, UGCE: User Guided Incremental Counterfactual Exploration, Accepted at ForgtAI workshop at IJCNN, 2025
  239. A. Gerontopoulos, S. Gidaris, N. Komodakis, Multi-Token Prediction Needs Registers, https://doi.org/10.48550/arXiv.2505.10518 , 2025
  240. D. Koutsianos, S. Zacharopoulos, Y. Panagakis, T. Stafylakis, Synthetic Speech Source Tracing using Metric Learning, Interspeech, 2025
  241. 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
  242. M. Samprovalaki, A. Chatzipapadopoulou, G. Moschovis, F. Charalampakos, P. Kaliosis, J. Pavlopoulos, and I. Androutsopoulos, AUEB NLP Group in ImageCLEF medical 2024, Proceedings of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 2024
  243. P. Kaliosis, G. Moschovis, F. Charalampakos, J. Pavlopoulos, and I. Androutsopoulos, AUEB NLP Group in ImageCLEF medical 2023, Proceedings of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, 2023
  244. C.Tsapelas, G.Koutrika, Towards a Neural Database Execution Engine, EDBT: 28th International Conference on Extending Database Technology 25th March - 28th March, 2025
  245. I. Caragiannis, G. Christodoulou, N. Protopapas, Truthful Aggregation of Budget Proposals with Proportionality Guarantees, Artificial Intelligence, 2024
  246. V. Apidopoulos, C. Molinari, J. Peypouquet, S. Villa, Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates, 2025
  247. P. Rigas, P. Drivas, C. Tzamos, I. Chamodrakas, G. Ioannakis, L.J. Guibas, and I.Z. Emiris, GARLIC: GAussian Representation LearnIng for spaCe partitioning, nips 2025, 2025
  248. D. Ravikumar, E. Soufleri, and K. Roy, Improved Out-of-Distribution Detection with Additive Angular Margin Loss, Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  249. A. Dimakis, J. Pavlopoulos, A. Anastasopoulos, Dialect Normalization using Large Language Models and Morphological Rules, Findings of the Association for Computational Linguistics (ACL), 2025
  250. E Soufleri, S Ananiadou, Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals, In Proceedings of the 24th Workshop on Biomedical Language Processing (pp. 34-43), 2025
  251. V. Alimisis , V. Moustakas , A. Papathanasiou , K. Cheliotis , P. P. Sotiriadis, An Analog Hardware Neural Network-Based Classifier for Robot Manipulation, International Conference on Control, Automation, and Instrumentation 2025
  252. 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
  253. D. Samaras, G. Agrotis, A. 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 (MDPI), 2025
  254. Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas, Georgios Paraskevopoulos, and Alexandros Potamianos, Masked Diffusion Language Models with Frequency-Informed Training, EMNLP 2025, 2025 (EMNLP Challenge Award)
  255. E. Partalidou, T. Passali, Ch. Zerva, G. Tsoumakas, S. Ananiadou, Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach, ACL Anthology, 2025
  256. O.S. Chlapanis, D. Galanis, N. Aletras,I. Androutsopoulos, GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations, ACL Anthology, 2025
  257. 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, ACL Anthology, 2025
  258. 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, ACL Anthology, 2025
  259. P. Kaliosis, J. Pavlopoulos, Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition, ACL Anthology, 2025
  260. 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, ACL Anthology, 2025
  261. K. Yang, Z. Liu, Q. Xie, J. Huang, E. Min, S. Ananiadou, Selective Preference Optimization via Token-Level Reward Function Estimation, ACL Anthology, 2025
  262. S. Zhang, Y. Nan, Yingying Fanga, S. Wanga, 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
  263. 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
  264. V. Dorovatas, G. Paraskevopoulos, A. Potamianos, Auto-Compressing Networks, NeurIPS, 2025 (NeurIPS Oral Presentation)
  265. T. Kouzelis, E. Karypidis, I. Kakogeorgiou, S. Gidaris, N. Komodakis, Boosting Generative Image Modeling via Joint Image-Feature Synthesis, NeurIPS, 2025 (NeurIPS Spotlight Poster)
  266. L. Ghafourpour, V. Duruisseaux, B. Tolooshams, P. H. Wong, C. Anastassiou, A. Anandkumar, NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models, NeurIPS, 2025
  267. 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
  268. P. Giannoulis, Y. Pantis, C. Tzamos, Teaching Transformers to Solve Combinatorial Problems through Efficient Trial and Error, NeurIPS, 2025
  269. V. Moustakas, K. Cheliotis, A. Mylona, V. Alimisis, and P. P. Sotiriadis, An Analog Low-Power Decision Tree Classifier Architecture for Parkinson’s Disease Prediction, FAIEMA 2025, 2025 (Best Paper Award)
  270. V. Alimisis, V. Moustakas, K. Cheliotis, A.Mylona and P.P. Sotiriadis, An analog ReLu-based decision tree circuit architecture for biomedical applications, Analog Integrated Circuits and Signal Processing 2025
  271. S. Zhang, Y. Nan, Yingying Fanga, S. Wanga, 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
  272. V. Alimisis, C. Dimas, A. Papathanasiou, P.P. Sotiriadis, A Low-Power Analog Hardware Sigmoid-based Neural Network for Biomedical Applications, IEEE International Symposium on Circuits and Systems (ISCAS) 2025
  273. V. Alimisis, A. Mylona, K. Cheliotis, V. Moustakas, Z. Foufas and P. P. Sotiriadis, A Cuff-Less Blood Pressure Estimation System Based On Low-Power Analog Integrated Neural Network, MOCAST 2025, 2025
  274. V. Moustakas, V. Alimisis, Z. Foufas, K. Cheliotis, A. Mylona and P. P. Sotiriadis, A Low-Power Analog Integrated Decision Tree for Diabetic Retinopathy Detection, MOCAST 2025, 2025 (Best Student Paper and Presentation Award)
  275. V. Moustakas, V. Alimisis, K. Cheliotis, A. Papathanasiou and P. P. Sotiriadis, A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Bulk Biasing for ML Applications, IEEE NEWCAS 2025, 2025
  276. K. Cheliotis, V. Alimisis, V. Moustakas, A. Papathanasiou and P. P. Sotiriadis, A Low-Power Analog Integrated Decision Tree Classifier for Laryngeal Voice Disorder Detection, 23rd IEEE International Newcas Conference, IEEE, 2025
  277. K. Cheliotis, V. Alimisis, V. Moustakas, Z. Foufas, A. Mylona and P. P. Sotiriadis, An Energy-Efficient Analog Integrated Neural Network for Cirrhosis Patient Survival Prediction, SMACD 2025, 2025 
  278. V. Alimisis, K. Cheliotis, V. Moustakas, A. Mylona, Z. Foufas and P. P. Sotiriadis, A Power-Efficient Analog Integrated Decision Tree Classifier for Machine Predictive Maintenance Classification, SMACD 2025, 2025
  279. K.Cheliotis, V.Alimisis, V.Moustakas, A.Mylona and P. P. Sotiriadis, A Low-Power Analog Hardware Nearest Centroid Classifier for Glioma Brain Tumor Classification, PRIME 2025, 2025
  280. V. Moustakas, V. Alimisis, K. Cheliotis, A. Mylona and P. P. Sotiriadis, A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Adaptive Bulk Biasing for Forest Fire Prediction, PRIME 2025, 2025
  281. A. Mylona, V. Alimisis, K. Cheliotis, V. Moustakas and P. P. Sotiriadis, A Power-Efficient Analog Integrated Decision Tree Classifier for Dementia Prediction, PRIME 2025, 2025
  282. Z. Foufas, V. Alimisis, P. P. Sotiriadis, Design of a Low-Power Analog Integrated Deep Convolutional Neural Network, IEEE TVLSI 2025 (Volume: 33, Issue: 8, August 2025) 2025
  283. V. Alimisis, V. Moustakas, K. Cheliotis, A. Mylona and P.P. Sotiriadis, An Analog ReLu-based Decision Tree Circuit Architecture for Biomedical Applications, ALOG, Volume 125, article number 7, (2025) 2025
  284. Yanqi Chen, Xiao Yan, Alexandra Meliou, Eric Lo, DiskJoin: Large-scale Vector Similarity Join with SSD, SIGMOD 2026, 2025
  285. V. Alimisis, K. Cheliotis, V. Moustakas, A. Mylona, C. Dimas, and P.P. Sotiriadis, A Design Methodology for Analog Integrated Artificial Neural Networks Circuits: Architectures, Design and Training, ALOG, Volume 125, article number 6, (2025) 2025 
  286. 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, 2025
  287. 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
  288. 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, Fellow, 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 JBHI 2026 
  289. V. Alimisis, A. Mylona, K. Cheliotis, V. Moustakas, C. Dimas and P. P. Sotiriadis, Low-Power ECG Anomaly Detector Using an Area-Efficient Artificial Neural Network, SOCC 2025, 2025 
  290. V. Alimisis, M. M. Al Sidani, R. Younes, K. Cheliotis, P. P. Sotiriadis, J. Possik, C. Yaacoub and R. A. Z. Daou, Detection of Multiple Sclerosis Based on MRI Images using a Low-Power Analog Integrated Artificial Neural Networks, ACTEA 2025, 2025
  291. V. Alimisis, K. Cheliotis, A. Mylona, V. Moustakas and P. P. Sotiriadis, A Low-Power Analog Integrated Decision Tree Classifier Architecture for Apnea-Ecg Detection, ICECS 2025, 2025 
  292. V. Alimisis, K. Cheliotis, A. Mylona, V. Moustakas and P. P. Sotiriadis, A Power-Efficient Analog Integrated K-means Classifier Architecture for Brain Stroke Prediction, ICECS 2025, 2025 
  293. A. Mylona, V. Alimisis and P.P. Sotiriadis, An Analog Hardware Squarer-Based Edge Detector for Breast Cancer, ICECS 2025, 2025
  294. A. Mylona, V. Alimisis. P.P. Sotiriadis, A Power-Efficient Analog Hardware Neural Network for Hand Gesture Recognition, ICABME 2025, 2025
  295. E. Georgiou, T. Kantianis, D. Papa, V. Moustakas, V. Alimisis and P. P. Sotiriadis, An Early Detection Auditory Disorders System based on Power-Efficient Analog Hardware Sigmoid-based Classifiers, ICABME 2025, 2025
  296. J. Yan, Y. Luo, V. Chatziafratis, I. Panageas, P. Shahkar, and S. Stavroulakis, The Complexity of Finding Local Optima in Contrastive Learning, NeurIPS 2025, 2025
  297. G, Mentzelopoulos, I. Asmanis, K. Kording, E. L. Dyer, K. Daniilidis, and F. Vitale, A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks, NeurIPS 2025, 2025
  298. E. Balkanski, N. DeFilippis, V. Gkatzelis, and X. Tan, Procurement Auctions with Predictions: Improved Frugality for Facility Location, NeurIPS 2025, 2025
  299. 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. Kongto Hau, G. Yang, Z. Zhang, Non-invasive assessment of microcirculatory resistance by coronary computed tomography angiography, EuroIntervention: 22(1), 2026
  300. 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
  301. N. Tzanakis, A. Barberis, I. Chourdaki, M. A. Savaglio, S. M. Smirnakis, and M. Papadopouli, Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural Representation, BIBE 2025, 2025 (Best Paper Award)
  302. M. A. Savaglio, C. Brozi, S. M. Smirnakis, and 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, 2025 (Best Paper Award)
  303. 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, EMNLP 2025, 2025
  304. Y. Li, M. Wang, M. De Carvalho, S. Sabanis, T. Ma, FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval, EMNLP 2025, 2025

 
 

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.

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