Jacob, Laurent

6 publications

TMLR 2023 Neural Networks Beyond Explainability: Selective Inference for Sequence Motifs Antoine Villié, Philippe Veber, Yohann De Castro, Laurent Jacob

ICML 2020 Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen, Laurent Jacob, Julien Mairal

NeurIPS 2019 Recurrent Kernel Networks Dexiong Chen, Laurent Jacob, Julien Mairal

NeurIPS 2011 A More Powerful Two-Sample Test in High Dimensions Using Random Projection Miles Lopes, Laurent Jacob, Martin J. Wainwright

ICML 2009 Group Lasso with Overlap and Graph Lasso Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert

NeurIPS 2008 Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob, Jean-philippe Vert, Francis R. Bach