Jean-Philippe Vert
Orcid: 0000-0001-9510-8441
According to our database1,
Jean-Philippe Vert
authored at least 112 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on cg.ensmp.fr
On csauthors.net:
Bibliography
2023
Bioinform., January, 2023
Regression as Classification: Influence of Task Formulation on Neural Network Features.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
J. Comput. Biol., 2022
Proceedings of the Research in Computational Molecular Biology, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models.
CoRR, 2020
Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference.
Bioinform., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.
PLoS Comput. Biol., 2019
J. Comput. Biol., 2019
CoRR, 2019
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator.
CoRR, 2019
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Improving prediction of heterodimeric protein complexes using combination with pairwise kernel.
BMC Bioinform., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.
PLoS Comput. Biol., 2017
2016
Bioinform., 2016
2015
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data.
CoRR, 2015
A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples.
BMC Bioinform., 2015
A generic methodological framework for studying single cell motility in high-throughput time-lapse data.
Bioinform., 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Pattern Recognit. Lett., 2014
A Bayesian active learning strategy for sequential experimental design in systems biology.
BMC Syst. Biol., 2014
Bioinform., 2014
Efficient RNA isoform identification and quantification from RNA-Seq data with network flows.
Bioinform., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
BMC Bioinform., 2013
Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks.
Bioinform., 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
BMC Syst. Biol., 2012
2011
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples.
BMC Bioinform., 2011
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization.
Bioinform., 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Gradient-based musical feature extraction based on scale-invariant feature transform.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
BMC Bioinform., 2010
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction.
BMC Bioinform., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization.
J. Mach. Learn. Res., 2009
Bioinform., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
BMC Bioinform., 2008
Bioinform., 2008
Bioinform., 2008
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008
Proceedings of the ECCB'08 Proceedings, 2008
2007
BMC Bioinform., 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
J. Mach. Learn. Res., 2006
J. Chem. Inf. Model., 2006
BMC Bioinform., 2006
BMC Bioinform., 2006
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006
2005
Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines.
J. Chem. Inf. Model., 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Supervised enzyme network inference from the integration of genomic data and chemical information.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004
2003
Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003
Extracting active pathways from gene expression data.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003
2002
Support Vector Machine Prediction of Signal Peptide Cleavage Site Using a New Class of Kernels for Strings.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002
Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
A tree kernel to analyse phylogenetic profiles.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002
2001
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001