268 citations · 1.1k across the 40 of their papers we have counts for
3 papers · 1 filter
Take One Gram of Neural Features, Get Enhanced Group Robustness
Simon Roburin, Charles Corbière, Gilles Puy +4
Predictive performance of machine learning models trained with empirical risk minimization (ERM) can degrade considerably under distribution shifts. The presence of spurious correl…
Compressive PCA for Low-Rank Matrices on Graphs
Nauman Shahid, Nathanael Perraudin, Gilles Puy +1
We introduce a novel framework for an approxi- mate recovery of data matrices which are low-rank on graphs, from sampled measurements. The rows and columns of such matrices belong…
UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods
Nathanael Perraudin, Vassilis Kalofolias, David Shuman +1
Convex optimization is an essential tool for machine learning, as many of its problems can be formulated as minimization problems of specific objective functions. While there is a…