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. V. Boone and P. Mertikopoulos, The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games, Advances in Neural Information Processing Systems, vol 36, 2024.
  3. L. Kavouras, K. Tsopelas, G. Giannopoulos, D. Sacharidis, E. Psaroudaki, N. Theologitis, D. Rontogiannis, D. Fotakis, and I. Emiris, Fairness Aware Counterfactuals for Subgroups, Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023.
  4. G. Christodoulou, A. Fiat, E. Koutsoupias, and A. Sgouritsa, Fair Allocation in Graphs, Proceedings of the 24th ACM Conference on Economics and Computation, United Kingdom, 2023.
  5. G. Christodoulou, E. Koutsoupias, and A. Kovacs, A Proof of the Nisan-Ronen Conjecture, Proceedings of the 55th Annual ACM Symposium on Theory of Computing (STOC), 2023.
  6. G. Christodoulou, C. Caragiannis, and N. Protopapas, Impartial Selection with Prior Information, Proceedings of the ACM Web Conference 2023, April 2023.
  7. K. Lotidis, P. Mertikopoulos, N. Bambos, and J. Blanchet, Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games, NeurIPS, 2023.
  8. I. Sakos, E. Vlatakis, P. Mertikopoulos, and G. Piliouras, Exploiting Hidden Structures in Non-convex Games for Convergence to Nash Equilibrium,  NeurIPS ,2023.
  9. Y.-P. Hsieh, M. R. K. Jaghargh, A. Krause, and P. Mertikopoulos, Riemannian Stochastic Optimization Methods Avoid Strict Saddle Points,  NeurIPS 2023.
  10. K. Lotidis, P. Mertikopoulos, and N. Bambos, The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games,  IEEE Conference on Decision and Control (CDC), 2023.
  11. 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.
  12. 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.
  13. N. Haghtalab, C. Podimata, and K. Yang, Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents, NeurIPS 2023.
  14. K. Harris, C. Podimata, and S. Z. Wu, Strategic Apple Tasting, NeurIPS 2023.
  15. K. Harris, A. Agrawal, C. Podimata, and S. Z. Wu, Strategyproof Decision-Making in Panel Data Settings and Beyond, in SIGMETRICS 2023.
  16. J. Dai, B. Flanigan, N. Haghtalab, M. Jagadeesan, and C. Podimata, Can Probabilistic Feedback Drive User Impacts in Online Platforms?, AISTATS 2024.
  17. G. Alonistiotis, A. Antonopoulos, N. Melissinos, A. Pagourtzis, S. Petsalakis, and M. Vasilakis, Approximating Subset Sum Ratio via Partition Computations, Acta Informatica, 2024.
  18. 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.
  19. 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: 19th International Conference on Web and Internet Economics, 2023.
  20. 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.
  21. 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: Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems. Forthcoming.
  22. 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.
  23. 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.
  24. 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.
  25. C. Caramanis, D. Fotakis, A. Kalavasis, V. Kontonis, and C. Tzamos, Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods, Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.
  26. E. Pitoura, Pagerank Fairness in Networks, Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF), Switzerland, 2023.
  27. 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.
  28. 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.
  29. 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.
  30. N. Patris, S. Stavroulakis, F. Kalogiannis, R. Zhang, and I. Panageas, Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints, AAAI 2024.
  31. 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.
  32. N. Patris and I. Panageas, Learning Nash Equilibria in Rank-1 Games: Going beyond the Minty Property, ICLR 2024. To appear.
  33. 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.
  34. 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.
  35. 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, Transactions on Machine Learning Research (TMLR), 2024.
  36. 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.
  37. Y. Xu, J. Lei, and K. Daniilidis, $SE(3)$ Equivariant Convolution and Transformer in Ray Space, Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
  38. J. Lei, C. Deng, B. Shen, L. Guibas, and K. Daniilidis, NAP: Neural 3D Articulated Object Prior, Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
  39. C. Deng, J. Lei, B. Shen, K. Daniilidis, and L. Guibas, Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance, Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
  40. 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.
  41. C. Fragkathoulas, V. Papanikou, D. Pla Karidi, E. Pitoura, On Explaining Unfairness: An Overview, published at ICDEW 2024, 2024
  42. 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
  43. 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
  44. 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
  45. 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.
  46. 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.
  47. 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
  48. 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
  49. V. Perifanis, E. Karypidis, N. Komodakis, and P. Efraimidis, SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion, Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference (EICC), 2024(Recipient of Best Paper Award at EICC 2024)
  50. 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, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
  51. Z. Luo, Q. Xie, S. Ananiadou, Factual consistency evaluation of summarisation in the Era of large language models, Expert Systems with Applications, 2024
  52. 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.
  53. 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 (to appear)
  54. 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?, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Malta, 2024
  55. 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
  56. 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
  57. 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
  58. T. Melistas, N. Spyrou, N. Gkouti, P. Sanchez, A. Vlontzos, Y. Panagakis, G. Papanastasiou, S. A. Tsaftaris. Benchmarking Counterfactual Image Generation NeurIPS, 2024
  59. 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
  60. 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. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’24), 2024
  61. J. Pavlopoulos, M. Konstantinidou, E. Perdiki, I. Marthot-Santaniello, H. Essler, G. Vardakas, A. Likas, Explainable dating of greek papyri images. Mach Learn, 2024
  62. 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, Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR 235:25276-25301
  63. A. Zamanos, P. Koromilas, G. Bouritsas, P. L. Kastritis, Y. Panagakis, Towards Generalizable Particle Picking in Cryo-EM Images by Leveraging Masked AutoEncoder, ICML 2024 Workshop on Efficient and Accessible Foundation Models for Biological Discovery.
  64. 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
  65. 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
  66. 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.
  67. 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.
  68. I. Kakogeorgiou, S. Gidaris, K. Karantzalos, and N. Komodakis, SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (CVPR 2024 Highlight)
  69. A. Kontogiannis, V. Pollatos, S. Kanellopoulos, P. Mertikopoulos, A. Pagourtzis, I. Panageas, The Computational Complexity of Finding Second-Order Stationary Points, Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR 235:25191-25225, 2024.
  70. 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.
  71. C. Guille-Escuret, H. Naganuma, K. Fatras, I. Mitliagkas, No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths, ICML 2024
  72. C. Guille-Escuret, P. Noel, I. Mitliagkas, D. Vazquez, J. Monteiro, Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection, NeurIPS 2024
  73. K. Bringmann, N. Fischer, V. Nakos, Beating Bellman's Algorithm for Subset Sum, SODA (Symposium on Discrete Algorithms), 2024
  74. N. Ananthakrishnan, N. Haghtalab, C. Podimata, K. Yang, Is knowledge power? On the (im)possibility of learning from strategic interactions, NeurIPS2024, 2024
  75. P. Jaillet, C. Podimata, A. Vakhutinsky, Z. Zhou, When should you offer an upgrade? Online upgrading mechanisms for resource allocation, WINE2024, 2024
  76. P. Jaillet, C. Podimata, Z. Zhou, Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management, WINE2024, 2024
  77. G. Christodoulou, A. Sgouritsa, I. Vlachos, Mechanism Design augmented with output advice, NeurIPS2024, 2024
  78. 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, NeurIPS2024, 2024
  79. V. Kontonis, M. Ma, C. Tzamos, Active Classification with Few Queries under Misspecification, NeurIPS2024, 2024
  80. C. Caramanis, N. Tsikouras, C. Tzamos, Optimization Can Learn Johnson Lindenstrauss Embeddings, NeurIPS2024, 2024
  81. 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, NeurIPS2024, 2024
  82. 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, NeurIPS2024, 2024
  83. S. Pertigkiozoglou, E. Chatzipantazis, S. Trivedi, K. Daniilidis, Improving Equivariant Model Training via Constraint Relaxation, NeurIPS2024, 2024
  84. V. Kungurtsev, G. Korpas, J. Marecek, and E. Yechao ZhuIteration Complexity of Variational Quantum Algorithms, Quantum Open Journal for quantum Science, 2024
  85. I. Panageas, T. Trobst, V. Vazirani, Time-Efficient Algorithms for Nash-Bargaining-Based Matching Market Models, Accepted to appear in WINE 2024, 2024
  86. 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.
  87. H. Choudhary, C. Gupta, V. Kungrutsev, M. Leok, G. Korpas, Learning Generalized Hamiltonians using fully Symplectic Mappings, preprint
  88. 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
  89. P. Rytir, A. Wodecki, G. Korpas, J. Marecek, ExDBN: Exact learning of Dynamic Bayesian Networks, preprint
  90. 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
  91. I. Psarros, D. Rohde, Random projections for curves in high dimensions, Discrete & Computational Geometry, 2024
  92. Ι. Kalogeropoulos, G. Bouritsas, Y. Panagakis, Scale Equivariant Graph Metanetworks, NeurIPS, 2024 (oral)
  93. 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
  94. A. Assos, Y. Dagan, C. Daskalakis, Maximizing utility in multi-agent environments by anticipating the behavior of other learners, NeurIPS, 2024
  95. F. Kalogiannis, J. Yan, I. Panageas, Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem, NeurIPS, 2024
  96. 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
  97. 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
  98. K. Lotidis, A. Giannou, P. Mertikopoulos, and N. Bambos, Accelerated regularized learning in finite Ν-person games, NeurIPS, 2024
  99. R. Hakim, A.-A. Stoica, C. Papadimitriou, M. Yannakakis, The Fairness-Quality Tradeoff in Clustering , NeurIPS, 2024
  100. 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
  101. 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
  102. R. Costales, S. Nikolaidis, Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity, NeurIPS, 2024
  103. A. Kalavasis, A. Karbasi, A. Oikonomou, K. Sotiraki, G. Velegkas, M. Zampetakis, Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models, NeurIPS, 2024
  104. J. Tan, J. Blanchet, V. Syrgkanis, Consistency of Neural Causal Partial Identification, NeurIPS, 2024
  105. Y. Cai, C. Daskalakis, H. Luo, C. Wei, W. Zheng, On Tractable Φ-Equilibria in Non-Concave Games, NeurIPS, 2024
  106. F. Babiloni, A. Lattas, J. Deng, S. Zafeiriou, ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling, NeurIPS, 2024
  107. 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
  108. J. Kwon, S. Mannor, C. Caramanis, Y. Efroni, RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation, NeurIPS, 2024
  109. 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
  110. V. Balazadeh, K. Chidambaram, V. Nguyen, R. Krishnan, V. Syrgkanis, Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity, NeurIPS, 2024
  111. S. Foti, S. Zafeiriou, T. Birdal, UV-free Texture Generation with Denoising and Geodesic Heat Diffusion, NeurIPS, 2024
  112. 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
  113. 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
  114. D. Ravikumar, E. Soufleri, K. Roy, Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature, NeurIPS, 2024
  115. J. Jin, V. Syrgkanis, Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity, NeurIPS, 2024
  116. K. Yang, Z. Liu,Q. Xie,J. Huang,T. Zhang, A. Sophia, MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, NeurIPS, 2024
  117. 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
  118. E. Balkanski, V. Gkatzelis, G. Shahkarami, Randomized Strategic Facility Location with Predictions, NeurIPS, 2024
  119. 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
  120. 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
  121. 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
  122. G. Amanatidis, G. Birmpas, P. Lazos, S. Leonardi, and R. Reiffenhäuser. Algorithmically Fair Maximization of Multiple Submodular Objectives. AAMAS 2025: 24th International Conference on Autonomous Agents and Multi-Agent Systems, 2025
  123. G. Amanatidis, F. Fusco, R. Reiffenhäuser, and A. Tsikiridis. Pandora's Box Problem Over Time. WINE 2024: 20th Conference on Web and Internet Economics, 2024
  124. 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
  125. 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
  126. G. Amanatidis, P. Kleer. Approximately Sampling and Counting Graphs with Near-Regular Degree Intervals. SIAM Journal on Discrete Mathematics, 38(4): 2812-2840, 2024
  127. 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
  128. F. Zardbani, K. Lampropoulos, N. Mamoulis, P. Karras, Updating an Adaptive Spatial Index, IEEE International Conference on Data Engineering (ICDE), 2025
  129. 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 VerificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
  130. 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
  131. I. Caragiannis, G. Christodoulou, N. Protopapas, Truthful aggregation of budget proposals with proportionality guarantees, Artificial Intelligence, Volume 335, 104178, 2024
  132. 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
  133. K. Alexis, S. Christodoulidis, D. Gunopulos, M. VakalopoulouDiffusion models for nuclei segmentation in low data regimes, International Symposium on Biomedical Imaging, 2024
  134. N. Protopapas, V. Yazdanpanah, E. H. Gerding, S. Stein, Online Decentralised Mechanisms for Dynamic Ridesharing, AAMAS 2024: Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (1602-1610), 2024
  135. J. Pavlopoulos, G. Vardakas, A. Likas, Revisiting Silhouette Aggregation, The 27th International Conference on Discovery Science, 2024
  136. J. Pavlopoulos, P. Louridas, P. Filos, Towards a Greek Proverb Atlas: A Computational Spatial Exploration and Attribution of Greek Proverbs, EMNLP, 2024
  137. K. Randl, J. Pavlopoulos, A. Henriksson, T. Lindgren, Evaluating the Reliability of Self-Explanations in Large Language Models, International Conference on Discovery Science, 2024
  138. V. Alimisis, C. Dimas, P.P. Sotiriadis, A Power-Efficient, Analog Integrated, Sigmoid-Based Edge Detector., IEEE 36th International Conference on Microelectronics (ICM), 2024
  139. 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, IEEE 36th International Conference on Microelectronics (ICM), 2024
  140. V. Alimisis, C. Dimas, A. Papathanasiou, P.P. Sotiriadis, An Analog Integrated Relu-based Neural Networks for Water Quality Classification, IEEE 36th International Conference on Microelectronics (ICM), 2024
  141. 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
  142. A. Poulis, E. Tsalapati, M. Koubarakis, Transformers in the Service of Description Logic-based Contexts24th International Conference on Knowledge Engineering and Knowledge Management, 2024
  143. A. Poulis, E. Tsalapati, M. Koubarakis, Transformer-based Language Models for Reasoning in the Description Logic ALCQ, Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024), 2024
  144. J. H. Lee, A. Mehrotra, and M. Zampetakis, Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond GaussiansIEEE Foundations of Computer Science (FOCS), 2024
  145. 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
  146. D. Soumis, G. Stamoulis, M. Koubarakis, A Visual Query Builder for DBpedia>, The 25th International Web Information Systems Engineering conference, 2024
  147. T. Johnston, I.Lytras, S.Sabanis, Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case, Journal of Complexity, 2024
  148. E. Markakis, C. Santorinaios, Improved EFX Approximation Guarantees under Ordinal-based Assumptions, AAMAS, 2023
  149. 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
  150. V. Christoforidis, C. Santorinaios, On The Pursuit of EFX for Chores: Non-Existence and Approximations, IJCAI, 2024
  151. I. Lytras, Tamed Langevin sampling under weaker conditions, Accepted at AISTATS 2025, 2025
  152. D. Karpontinis, G.Alexandridis, Transformer-Based Anomaly Detection in Energy Consumption Data, AIAI, 2024
  153. 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
  154. 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
  155. C. Fragkathoulas, O. S. Chlapanis, Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs, Proceedings of the 13th Hellenic Conference on Artificial Intelligence (SETN '24), 2024
  156. D. Pla Karidi, E. Pitoura, Path-based summary explanations for graph recommenders, 41st IEEE International Conference on Data Engineering (ICDE 2025) , 2025
  157. 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
  158. 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
  159. I. Lytras and P. Mertikopoulos, Tamed Langevin sampling under weaker conditions, AISTATS 2025, 2025
  160. 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
  161. 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
  162. D. Legacci, P. Mertikopoulos, and B. S. R. Pradelski, A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights, ICML 2024, 2024
  163. 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, 2024
  164. K. Lotidis, A. Giannou, P. Mertikopoulos, and N. Bambos, Accelerated regularized learning in finite N-person games, NeurIPS 2024, 2024
  165. 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
  166. 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
  167. G. Christodoulou, A. Sgouritsa, An Improved Upper Bound for the Universal TSP on the Grid, SIAM Journal on Computing, 2024
  168. K. Karatapanis, V. Kontonis, C. Tzamos, Oracle Efficient Truncated Stastics, ICLR 2025, 2025
  169. T. Kouzelis, M. Plitsis, M. A. Nicolaou, Y. Panagakis, Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis, BMVC 2024, 2024
  170. 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
  171. I. Kalogeropoulos, G. Bouritsas, Y. Panagakis, Scale Equivariant Graph Metanetworks, NeurIPS 2024, 2024
  172. 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
  173. K. Barmpas, Y. Panagakis, G. Zoumpourlis, D. A Adamos, N. Laskaris, S. Zafeiriou, A causal perspective on brainwave modeling for brain–computer interfaces, Journal of Neural Engineering, 2024
  174. M. Plitsis, T. Kouzelis, G. Paraskevopoulos, V. Katsouros, Y. Panagakis, Investigating personalization methods in text to music generation, ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  175. 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
  176. 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
  177. K. Barmpas, Y. Panagakis, D. Adamos, N. Laskaris, S. Zafeiriou, A Causal Perspective in Brainwave Foundation Models, Causality and Large Models@ NeurIPS 2024, 2024
  178. 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
  179. 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
  180. 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
  181. C. Fragkathoulas, V. Papanikou, E. Pitoura, E. Terzi, FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness, Submitted at PKDD/ECML, 2025
  182. 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
  183. 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
  184. I. Chiotis and Moustakas, A. L., A sequential UE selection scheme for User-Centric Communications employing Radio Stripes, 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). pp. 161-165, 2024
  185. T. G. Tsironis and Moustakas, A. L., 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
  186. I. Chiotis and Moustakas, A. L., Uplink Performance Optimization of Limited-Capacity Radio Stripes, IEEE Transactions on Wireless Communications, 2024
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. S. Pertigkiozoglou, E. Chatzipantazis, K. Daniilidis, BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration, Symmetry and Geometry in Neural Representations, 2024
  193. 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
  194. 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
  195. Z. Wang, J. Guo, K. Daniilidis, Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation, Computer Vision – ECCV 2024 (Vol. 15074, pp. 228–245), 2024
  196. V. Kontonis, M. Ma, C. Tzamos, Active Learning with Simple Questions, 37th Annual Conference on Learning Theory, 2024
  197. 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
  198. 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
  199. A. Atsidakou, C. Caramanis, E. Gergatsouli, O. Papadigenopoulos, C. Tzamos, Contextual Pandora's Box, AAAI Conference on Artificial Intelligence, 2024
  200. 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
  201. 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
  202. 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

 
 

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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