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2020 – today
- 2024
[c10]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers. AISTATS 2024: 2629-2637- [i13]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Federated Fairness without Access to Sensitive Groups. CoRR abs/2402.14929 (2024) - [i12]Gianluca Detommaso, Martín Bertrán, Riccardo Fogliato, Aaron Roth:
Multicalibration for Confidence Scoring in LLMs. CoRR abs/2404.04689 (2024) - [i11]Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu:
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable. CoRR abs/2405.20272 (2024) - [i10]Rongting Zhang, Martín Bertrán, Aaron Roth:
Order of Magnitude Speedups for LLM Membership Inference. CoRR abs/2409.14513 (2024) - 2023
- [c9]Martín Bertrán, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Morgenstern, Steven Wu:
Scalable Membership Inference Attacks via Quantile Regression. NeurIPS 2023 - [i9]Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu:
Scalable Membership Inference Attacks via Quantile Regression. CoRR abs/2307.03694 (2023) - 2022
- [b1]Martín Bertrán:
Robustness and Generalization Under Distribution Shifts. Duke University, Durham, NC, USA, 2022 - [c8]Afroditi Papadaki
, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. FAccT 2022: 142-159 - [i8]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. CoRR abs/2201.08304 (2022) - 2021
- [c7]Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro:
Blind Pareto Fairness and Subgroup Robustness. ICML 2021: 7492-7501 - [i7]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Federating for Learning Group Fair Models. CoRR abs/2110.01999 (2021) - [i6]Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro:
Distributionally Robust Group Backwards Compatibility. CoRR abs/2112.10290 (2021) - 2020
- [c6]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Minimax Pareto Fairness: A Multi Objective Perspective. ICML 2020: 6755-6764 - [c5]Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, David E. Carlson:
Attention-Based Network for Weak Labels in Neonatal Seizure Detection. MLHC 2020: 479-507 - [c4]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance-based Generalization in Reinforcement Learning. NeurIPS 2020 - [i5]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance based Generalization in Reinforcement Learning. CoRR abs/2011.01089 (2020) - [i4]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Minimax Pareto Fairness: A Multi Objective Perspective. CoRR abs/2011.01821 (2020)
2010 – 2019
- 2019
- [c3]Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu:
Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video. ICIP 2019: 2020-2024 - [c2]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [i3]Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu:
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video. CoRR abs/1902.05194 (2019) - [i2]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare. CoRR abs/1911.06935 (2019) - 2018
- [i1]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. CoRR abs/1805.07410 (2018) - 2016
- [j1]Martín Bertrán, Natalia Martínez, Guillermo Carbajal, Alicia Fernández, Álvaro Gómez:
An open tool for input function estimation and quantification of dynamic PET FDG brain scans. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1419-1430 (2016) - 2014
- [c1]Mauricio González, Javier Schandy, Nicolás Wainstein, Martín Bertrán, Natalia Martínez, Leonardo Barboni, Álvaro Gómez:
A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain. AMMDS 2014: 104-115
Coauthor Index
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