3 papers
cs.AI2023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
Raphael Boige, Guillaume Richard, Jérémie Dona +2
Quality Diversity (QD) algorithms have been proposed to search for a large collection of both diverse and high-performing solutions instead of a single set of local optima. While e…
cs.LG2021
Differentiable Feature Selection, a Reparameterization Approach
Jérémie Dona, Patrick Gallinari
We consider the task of feature selection for reconstruction which consists in choosing a small subset of features from which whole data instances can be reconstructed. This is of…
cs.LG2020
PDE-Driven Spatiotemporal Disentanglement
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier +1
A recent line of work in the machine learning community addresses the problem of predicting high-dimensional spatiotemporal phenomena by leveraging specific tools from the differen…