Clustered Multi-Task Learning: A Convex Formulation. - Laurent Jacob; Francis R. Bach; Jean-Philippe Vert (NIPS, 2008)

Efficient peptide-MHC-I binding prediction for alleles with few known binders. - Laurent Jacob; Jean-Philippe Vert (Bioinform., 2008)

Protein-ligand interaction prediction: an improved chemogenomics approach. - Laurent Jacob; Jean-Philippe Vert (Bioinform., 2008)

Virtual screening of GPCRs: An in silico chemogenomics approach. - Laurent Jacob; Brice Hoffmann; Véronique Stoven; Jean-Philippe Vert (BMC Bioinform., 2008)

Group lasso with overlap and graph lasso. - Laurent Jacob; Guillaume Obozinski; Jean-Philippe Vert (ICML, 2009)

A More Powerful Two-Sample Test in High Dimensions using Random Projection. - Miles Lopes; Laurent Jacob; Martin J. Wainwright (NIPS, 2011)

Group Lasso with Overlaps: the Latent Group Lasso approach - Guillaume Obozinski; Laurent Jacob; Jean-Philippe Vert (CoRR, 2011)

Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. - Elsa Bernard; Laurent Jacob; Julien Mairal; Jean-Philippe Vert (Bioinform., 2014)

Combining calls from multiple somatic mutation-callers. - Su Yeon Kim; Laurent Jacob; Terence P. Speed (BMC Bioinform., 2014)

A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. - Elsa Bernard; Laurent Jacob; Julien Mairal; Eric Viara; Jean-Philippe Vert (BMC Bioinform., 2015)

Recurrent Kernel Networks. - Dexiong Chen; Laurent Jacob; Julien Mairal (NeurIPS, 2019)

Biological sequence modeling with convolutional kernel networks. - Dexiong Chen; Laurent Jacob; Julien Mairal (Bioinform., 2019)

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

CALDERA: finding all significant de Bruijn subgraphs for bacterial GWAS. - Hector Roux de Bézieux; Leandro Lima; Fanny Perraudeau; Arnaud Mary; Sandrine Dudoit; Laurent Jacob (Bioinform., 2022)

Neural Networks beyond explainability: Selective inference for sequence motifs. - Antoine Villié; Philippe Veber; Yohann de Castro; Laurent Jacob (Trans. Mach. Learn. Res., 2023)