Search Results for author: Baptiste Goujaud

Found 5 papers, 3 papers with code

Proving Linear Mode Connectivity of Neural Networks via Optimal Transport

2 code implementations29 Oct 2023 Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut

The energy landscape of high-dimensional non-convex optimization problems is crucial to understanding the effectiveness of modern deep neural network architectures.

Linear Mode Connectivity

PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python

1 code implementation11 Jan 2022 Baptiste Goujaud, Céline Moucer, François Glineur, Julien Hendrickx, Adrien Taylor, Aymeric Dieuleveut

PEPit is a Python package aiming at simplifying the access to worst-case analyses of a large family of first-order optimization methods possibly involving gradient, projection, proximal, or linear optimization oracles, along with their approximate, or Bregman variants.

A Study of Condition Numbers for First-Order Optimization

no code implementations10 Dec 2020 Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas

Since smoothness and strong convexity are not continuous, we propose a comprehensive study of existing alternative metrics which we prove to be continuous.

Gradient based sample selection for online continual learning

4 code implementations NeurIPS 2019 Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

To prevent forgetting, a replay buffer is usually employed to store the previous data for the purpose of rehearsal.

Class Incremental Learning

Robust Detection of Covariate-Treatment Interactions in Clinical Trials

no code implementations21 Dec 2017 Baptiste Goujaud, Eric W. Tramel, Pierre Courtiol, Mikhail Zaslavskiy, Gilles Wainrib

Detection of interactions between treatment effects and patient descriptors in clinical trials is critical for optimizing the drug development process.

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