339 citations · 830 across the 27 of their papers we have counts for
27 papers
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty +2
Although traffic is one of the massively collected data, it is often only available for specific regions. One concern is that, although there are studies that give good results for…
Unsupervised discovery of Interpretable Visual Concepts
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Providing interpretability of deep-learning models to non-experts, while fundamental for a responsible real-world usage, is challenging. Attribution maps from xAI techniques, such…
Self-supervised learning of Split Invariant Equivariant representations
Quentin Garrido, Laurent Najman, Yann Lecun
Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on large scale datasets…
Discrete Morse Functions and Watersheds
Gilles Bertrand, Nicolas Boutry, Laurent Najman
Any watershed, when defined on a stack on a normal pseudomanifold of dimension d, is a pure (d -- 1)-subcomplex that satisfies a drop-of-water principle. In this paper, we introduc…
Fairness in generative modeling
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud +4
We design general-purpose algorithms for addressing fairness issues and mode collapse in generative modeling. More precisely, to design fair algorithms for as many sensitive variab…
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Quentin Garrido, Randall Balestriero, Laurent Najman +1
Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid development, with the emergence of many method variations but only few principled guidelines that would help prac…