Martín Bertrán

31 papers A* 8A 1B 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse.
CoRR
Martín Bertrán, Riccardo Fogliato, Zhiwei Steven Wu
2025 A* conf
Stronger Neyman Regret Guarantees for Adaptive Experimental Design.
ICML
Georgy Noarov, Riccardo Fogliato, Martín Bertrán, Aaron Roth
2025 J jnl
Stronger Neyman Regret Guarantees for Adaptive Experimental Design.
CoRR
Georgy Noarov, Riccardo Fogliato, Martín Bertrán, Aaron Roth
2024 A conf
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers.
AISTATS
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
2024 J jnl
Federated Fairness without Access to Sensitive Groups.
CoRR
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2024 J jnl
Improving LLM Group Fairness on Tabular Data via In-Context Learning.
CoRR
Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martín Bertrán, Michael Kearns, James Zou
2024 J jnl
Multicalibration for Confidence Scoring in LLMs.
CoRR
Gianluca Detommaso, Martín Bertrán, Riccardo Fogliato, Aaron Roth
2024 A* conf
Order of Magnitude Speedups for LLM Membership Inference.
EMNLP
Rongting Zhang, Martín Bertrán, Aaron Roth
2024 J jnl
Order of Magnitude Speedups for LLM Membership Inference.
CoRR
Rongting Zhang, Martín Bertrán, Aaron Roth
2024 A* conf
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable.
NeurIPS
Martín Bertrán, Shuai Tang, Michael Kearns, Jamie H. Morgenstern, Aaron Roth, Steven Z. Wu
2024 J jnl
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable.
CoRR
Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
2023 A* conf
Scalable Membership Inference Attacks via Quantile Regression.
NeurIPS
Martín Bertrán, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Morgenstern, Steven Wu
2023 J jnl
Scalable Membership Inference Attacks via Quantile Regression.
CoRR
Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
2022 — conf
Minimax Demographic Group Fairness in Federated Learning.
FAccT
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2022 J jnl
Minimax Demographic Group Fairness in Federated Learning.
CoRR
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2022 — —
Robustness and Generalization Under Distribution Shifts.
Martín Bertrán
2021 A* conf
Blind Pareto Fairness and Subgroup Robustness.
ICML
Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro
2021 J jnl
Distributionally Robust Group Backwards Compatibility.
CoRR
Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro
2021 J jnl
Federating for Learning Group Fair Models.
CoRR
Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2020 — conf
Attention-Based Network for Weak Labels in Neonatal Seizure Detection.
MLHC
Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, David E. Carlson
2020 J jnl
Instance based Generalization in Reinforcement Learning.
CoRR
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
2020 A* conf
Instance-based Generalization in Reinforcement Learning.
NeurIPS
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
2020 A* conf
Minimax Pareto Fairness: A Multi Objective Perspective.
ICML
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
2020 J jnl
Minimax Pareto Fairness: A Multi Objective Perspective.
CoRR
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
2019 A* conf
Adversarially Learned Representations for Information Obfuscation and Inference.
ICML
Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro
2019 J jnl
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare.
CoRR
Natalia Martínez, Martín Bertrán, Guillermo Sapiro
2019 B conf
Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video.
ICIP
Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu
2019 J jnl
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video.
CoRR
Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu
2018 J jnl
Learning to Collaborate for User-Controlled Privacy.
CoRR
Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
2016 J jnl
An open tool for input function estimation and quantification of dynamic PET FDG brain scans.
Int. J. Comput. Assist. Radiol. Surg.
Martín Bertrán, Natalia Martínez, Guillermo Carbajal, Alicia Fernández, Álvaro Gómez
2014 — conf
A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.
AMMDS
Mauricio González, Javier Schandy, Nicolás Wainstein, Martín Bertrán, Natalia Martínez, Leonardo Barboni, Álvaro Gómez