Julien Chiquet

发表

A greedy great approach to learn with complementary structured datasets

Marie Szafranski, Christophe Ambroise, Julien Chiquet, 2015, ICML 2015.

Structured regularization for conditional Gaussian graphical models

Tristan Mary-Huard, Stéphane Robin, Julien Chiquet, 2014, Statistics and Computing.

Dynamical Systems with Semi-Markovian Perturbations and Their Use in Structural Reliability

Nikolaos Limnios, Julien Chiquet, 2013 .

Sparsity by Worst-Case Quadratic Penalties

Christophe Ambroise, Yves Grandvalet, Julien Chiquet, 2012 .

A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data

Stéphane Robin, Céline Lévy-Leduc, Marie-Pierre Étienne, 2018, Statistical applications in genetics and molecular biology.

Inferring Multiple Graphical Models

Christophe Ambroise, Yves Grandvalet, Julien Chiquet, 2009 .

Fast tree aggregation for consensus hierarchical clustering

Julien Chiquet, Florence Jaffrézic, Guillem Rigaill, 2020, BMC Bioinformatics.

Fast computation of genome-metagenome interaction effects

Marie Szafranski, Florent Guinot, Christophe Ambroise, 2018, Algorithms for Molecular Biology.

The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2020, bioRxiv.

Variable selection in multivariate linear models with high-dimensional covariance matrix estimation

Céline Lévy-Leduc, Julien Chiquet, Marie Perrot-Dockès, 2017, J. Multivar. Anal..

Contributions to Sparse Methods for Complex Data Analysis

Julien Chiquet, 2015 .

Handling Missing Data in Stochastic Block Models [R package missSBM version 0.3.0]

Pierre Barbillon, Julien Chiquet, Timothée Tabouy, 2020 .

Variational Inference for sparse network reconstruction from count data

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2018, ICML.

Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression

Charles Bouveyron, Pierre-Alexandre Mattei, Pierre Latouche, 2016, J. Multivar. Anal..

A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer.

Julien Chiquet, Guillem Rigaill, Martina Sundqvist, 2018, Methods in molecular biology.

Inferring sparse Gaussian graphical models with latent structure

Christophe Ambroise, Catherine Matias, Julien Chiquet, 2008, 0810.3177.

Efficient Computations of Standard Clustering Comparison Measures [R package aricode version 1.0.0]

Julien Chiquet, Guillem Rigaill, Martina Sundqvist, 2020 .

Inferring multiple graphical structures

Christophe Ambroise, Yves Grandvalet, Julien Chiquet, 2009, Stat. Comput..

SIMoNe: Statistical Inference for MOdular NEtworks

Christophe Ambroise, Gilles Grasseau, Catherine Matias, 2009, Bioinform..

Modelling and estimating the reliability of stochastic dynamical systems with Markovian switching

Nikolaos Limnios, Julien Chiquet, Mohamed Eid, 2008, Reliab. Eng. Syst. Saf..

Network Inference in Breast Cancer with Gaussian Graphical Models and Extensions

Mickael Guedj, Julien Chiquet, Marine Jeanmougin, 2014 .

Fast tree aggregation for consensus hierarchical clustering

Julien Chiquet, Florence Jaffrézic, Guillem Rigaill, 2020, BMC Bioinformatics.

Fast Detection of Block Boundaries in Block-Wise Constant Matrices

Céline Lévy-Leduc, Vincent Brault, Julien Chiquet, 2016, MLDM.

Variational Inference for Stochastic Block Models From Sampled Data

Pierre Barbillon, Julien Chiquet, Timoth'ee Tabouy, 2017, Journal of the American Statistical Association.

Identification of deregulation mechanisms specific to cancer subtypes

Etienne Birmelé, Julien Chiquet, Pierre Neuvial, 2021, J. Bioinform. Comput. Biol..

Automated calibration for stability selection in penalised regression and graphical models: a multi-OMICs network application exploring the molecular response to tobacco smoking

Sarah Filippi, Marc Chadeau-Hyam, Julien Chiquet, 2021 .

Statistical Applications in Genetics and Molecular Biology Weighted-LASSO for Structured Network Inference from Time Course Data

Christophe Ambroise, Julien Chiquet, J. Chiquet, 2011 .

Learning ecological networks from next-generation sequencing data

Alireza Tamaddoni-Nezhad, Nathalie Peyrard, Régis Sabbadin, 2016 .

Variational inference for probabilistic Poisson PCA

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2017, The Annals of Applied Statistics.

A model for gene deregulation detection using expression data

Etienne Birmelé, Julien Chiquet, Pierre Neuvial, 2015, BMC Systems Biology.

Systems biology SIMoNe : Statistical Inference for MOdular NEtworks

Christophe Ambroise, Gilles Grasseau, Catherine Matias, 2009 .