Martín Bertrán

According to our database1, Martín Bertrán authored at least 20 papers between 2014 and 2024.

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Bibliography

2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable.
CoRR, 2024

Multicalibration for Confidence Scoring in LLMs.
CoRR, 2024

Federated Fairness without Access to Sensitive Groups.
CoRR, 2024

Order of Magnitude Speedups for LLM Membership Inference.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Scalable Membership Inference Attacks via Quantile Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Robustness and Generalization Under Distribution Shifts.
PhD thesis, 2022

Minimax Demographic Group Fairness in Federated Learning.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Distributionally Robust Group Backwards Compatibility.
CoRR, 2021

Federating for Learning Group Fair Models.
CoRR, 2021

Blind Pareto Fairness and Subgroup Robustness.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Instance-based Generalization in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Attention-Based Network for Weak Labels in Neonatal Seizure Detection.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Minimax Pareto Fairness: A Multi Objective Perspective.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare.
CoRR, 2019

Adversarially Learned Representations for Information Obfuscation and Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Learning to Collaborate for User-Controlled Privacy.
CoRR, 2018

2016
An open tool for input function estimation and quantification of dynamic PET FDG brain scans.
Int. J. Comput. Assist. Radiol. Surg., 2016

2014
A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.
Proceedings of the Activity Monitoring by Multiple Distributed Sensing, 2014


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