Martín Bertrán

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Multi Objective

Pareto Optimality

Reinforcement Learning

Distributed Processing

Top Venues

Publications

Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
Federated Fairness without Access to Sensitive Groups. CoRR (2024)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers. AISTATS (2024)
Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable. CoRR (2024)
Gianluca Detommaso, Martín Bertrán, Riccardo Fogliato, Aaron Roth
Multicalibration for Confidence Scoring in LLMs. CoRR (2024)
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
Minimax Demographic Group Fairness in Federated Learning. FAccT (2022)
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
Minimax Demographic Group Fairness in Federated Learning. CoRR (2022)
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
Federating for Learning Group Fair Models. CoRR (2021)
Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro
Distributionally Robust Group Backwards Compatibility. CoRR (2021)
Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro
Blind Pareto Fairness and Subgroup Robustness. ICML (2021)
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
Instance based Generalization in Reinforcement Learning. CoRR (2020)
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
Instance-based Generalization in Reinforcement Learning. NeurIPS (2020)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
Minimax Pareto Fairness: A Multi Objective Perspective. ICML (2020)
Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, David Carlson
Attention-Based Network for Weak Labels in Neonatal Seizure Detection. MLHC (2020)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
Minimax Pareto Fairness: A Multi Objective Perspective. CoRR (2020)
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)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare. CoRR (2019)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu
Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video. ICIP (2019)
Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video. CoRR (2019)
Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
Learning to Collaborate for User-Controlled Privacy. CoRR (2018)
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) (2016)
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)