| Minimax Pareto Fairness: A Multi Objective Perspective N Martinez, M Bertran, G Sapiro Proceedings of the 37th International Conference on Machine Learning, 2020 | 247 | 2020 |
| Adversarially Learned Representations for Information Obfuscation and Inference M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Reeves, ... International Conference on Machine Learning, 614-623, 2019 | 75 | 2019 |
| Minimax demographic group fairness in federated learning A Papadaki, N Martinez, M Bertran, G Sapiro, M Rodrigues Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 60 | 2022 |
| Blind Pareto Fairness and Subgroup Robustness NL Martinez, MA Bertran, A Papadaki, M Rodrigues, G Sapiro International Conference on Machine Learning, 7492-7501, 2021 | 49 | 2021 |
| Scalable membership inference attacks via quantile regression M Bertran, S Tang, A Roth, M Kearns, JH Morgenstern, SZ Wu Advances in Neural Information Processing Systems 36, 2024 | 42 | 2024 |
| Attention-Based Network for Weak Labels in Neonatal Seizure Detection DY Isaev, D Tchapyjnikov, CM Cotten, D Tanaka, N Martinez, M Bertran, ... Proceedings of machine learning research 126, 479, 2020 | 34 | 2020 |
| Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare N Martinez, M Bertran, G Sapiro arXiv preprint arXiv:1911.06935, 2019 | 29 | 2019 |
| Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video N Martinez, M Bertran, G Sapiro, HT Wu 2019 IEEE International Conference on Image Processing (ICIP), 2020-2024, 2019 | 28 | 2019 |
| Federating for Learning Group Fair Models A Papadaki, N Martinez, M Bertran, G Sapiro, M Rodrigues arXiv preprint arXiv:2110.01999, 2021 | 23 | 2021 |
| A survey on statistical, information, and estimation—theoretic views on privacy H Hsu, N Martinez, M Bertran, G Sapiro, FP Calmon IEEE BITS the Information Theory Magazine 1 (1), 45-56, 2021 | 20 | 2021 |
| Instance-based generalization in reinforcement learning M Bertran, N Martinez, M Phielipp, G Sapiro Advances in Neural Information Processing Systems 33, 11333-11344, 2020 | 19 | 2020 |
| Multicalibration for Confidence Scoring in LLMs G Detommaso, M Bertran, R Fogliato, A Roth arXiv preprint arXiv:2404.04689, 2024 | 15 | 2024 |
| Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable M Bertran, S Tang, M Kearns, J Morgenstern, A Roth, ZS Wu arXiv preprint arXiv:2405.20272, 2024 | 8 | 2024 |
| An open tool for input function estimation and quantification of dynamic PET FDG brain scans M Bertrán, N Martínez, G Carbajal, A Fernández, Á Gómez International journal of computer assisted radiology and surgery 11, 1419-1430, 2016 | 7 | 2016 |
| Federated Fairness without Access to Demographics A Papadaki, N Martinez, MA Bertran, G Sapiro, MRD Rodrigues Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 5 | 2022 |
| Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation M Bertran, W Talbott, N Srivastava, J Susskind arXiv preprint arXiv:2201.12300, 2022 | 4 | 2022 |
| Active learning of cortical connectivity from two-photon imaging data MA Bertrán, NL Martínez, Y Wang, D Dunson, G Sapiro, D Ringach PloS one 13 (5), e0196527, 2018 | 4 | 2018 |
| Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models N Srivastava, W Talbott, MB Lopez, S Zhai, J Susskind arXiv preprint arXiv:2112.01163, 2021 | 3 | 2021 |
| Distributionally Robust Group Backwards Compatibility M Bertran, N Martinez, A Oesterling, G Sapiro arXiv preprint arXiv:2112.10290, 2021 | 2 | 2021 |
| Learning to Collaborate for User-Controlled Privacy M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Sapiro arXiv preprint arXiv:1805.07410, 2018 | 2 | 2018 |
Natalia Lucienne Martinez GilIBM ResearchVerified email at ibm.com
