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, arXiv:2402.10762
  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. arXiv, 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. F. Kalogiannis, J. Yan, I. Panageas, Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem, NeurIPS2024, 2024
  80. V. Kontonis, M. Ma, C. Tzamos, Active Classification with Few Queries under Misspecification, NeurIPS2024, 2024
  81. C. Caramanis, N. Tsikouras, C. Tzamos, Optimization Can Learn Johnson Lindenstrauss Embeddings, NeurIPS2024, 2024
  82. 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
  83. 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
  84. S. Pertigkiozoglou, E. Chatzipantazis, S. Trivedi, K. Daniilidis, Improving Equivariant Model Training via Constraint Relaxation, NeurIPS2024, 2024
  85. V. Kungurtsev, G. Korpas, J. Marecek, and E. Yechao ZhuIteration Complexity of Variational Quantum Algorithms, Quantum Open Journal for quantum Science, 2024
  86. I. Panageas, T. Trobst, V. Vazirani, Time-Efficient Algorithms for Nash-Bargaining-Based Matching Market Models, Accepted to appear in WINE 2024, 2024
  87. 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.
  88. H. Choudhary, C. Gupta, V. Kungrutsev, M. Leok, G. Korpas, Learning Generalized Hamiltonians using fully Symplectic Mappings, preprint
  89. 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
  90. P. Rytir, A. Wodecki, G. Korpas, J. Marecek, ExDBN: Exact learning of Dynamic Bayesian Networks, preprint
  91. 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
  92. I. Psarros, D. Rohde, Random projections for curves in high dimensions, Discrete & Computational Geometry, 2024

 
 

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

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