Laurent Jacob

According to our database, Laurent Jacob authored at least 14 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Networks beyond explainability: Selective inference for sequence motifs.

Antoine Villié, Philippe Veber, Yohann de Castro, Laurent Jacob

Trans. Mach. Learn. Res., 2023

2020

Convolutional Kernel Networks for Graph-Structured Data.

Dexiong Chen, Laurent Jacob, Julien Mairal

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Biological sequence modeling with convolutional kernel networks.

Dexiong Chen, Laurent Jacob, Julien Mairal

Bioinform., 2019

Recurrent Kernel Networks.

Dexiong Chen, Laurent Jacob, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2015

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

2014

Combining calls from multiple somatic mutation-callers.

Su Yeon Kim, Laurent Jacob, Terence P. Speed

BMC Bioinform., 2014

Efficient RNA isoform identification and quantification from RNA-Seq data with network flows.

Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert

Bioinform., 2014

2011

Group Lasso with Overlaps: the Latent Group Lasso approach

Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert

CoRR, 2011

A More Powerful Two-Sample Test in High Dimensions using Random Projection.

Miles Lopes, Laurent Jacob, Martin J. Wainwright

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Group lasso with overlap and graph lasso.

Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Virtual screening of GPCRs: An <i>in silico</i> chemogenomics approach.

Laurent Jacob, Brice Hoffmann, Véronique Stoven, Jean-Philippe Vert

BMC Bioinform., 2008

Protein-ligand interaction prediction: an improved chemogenomics approach.

Laurent Jacob, Jean-Philippe Vert

Bioinform., 2008

Efficient peptide-MHC-I binding prediction for alleles with few known binders.

Laurent Jacob, Jean-Philippe Vert

Bioinform., 2008

Clustered Multi-Task Learning: A Convex Formulation.

Laurent Jacob, Francis R. Bach, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 21, 2008