Evaluation of Objective Uncertainty in the Visual System. - Simon Barthelmé; Pascal Mamassian (PLoS Comput. Biol., 2009)

ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. - Simon Barthelmé; Nicolas Chopin (ICML, 2011)

Bounding errors of Expectation-Propagation. - Guillaume P. Dehaene; Simon Barthelmé (NIPS, 2015)

Fast matrix computations for functional additive models. - Simon Barthelmé (Stat. Comput., 2015)

The Poisson transform for unnormalised statistical models. - Simon Barthelmé; Nicolas Chopin (Stat. Comput., 2015)

Visualizing the effects of a changing distance on data using continuous embeddings. - Gina Gruenhage; Manfred Opper; Simon Barthelmé (Comput. Stat. Data Anal., 2016)

Graph sampling with determinantal processes. - Nicolas Tremblay; Pierre-Olivier Amblard; Simon Barthelmé (EUSIPCO, 2017)

Echantillonnage de signaux sur graphes via des processus déterminantaux. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2017)

Non-Linear Source Separation Under the Langmuir Model for Chemical Sensors. - Pierre Maho; Simon Barthelmé; Pierre Comon (SAM, 2018)

Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. - Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (SSP, 2018)

Optimized Algorithms to Sample Determinantal Point Processes. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2018)

Olfactive robot for gas discrimination over several months using a new optoelectronic nose. - Pierre Maho; Carlos Leonardo Dolcinotti; Thierry Livache; Cyril Herrier; Anton Andreev; Pierre Comon; Simon Barthelmé (ISOEN, 2019)

Determinantal Point Processes for Coresets. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (J. Mach. Learn. Res., 2019)

imager: an R package for image processing based on CImg. - Simon Barthelmé; David Tschumperlé (J. Open Source Softw., 2019)

Color improves edge classification in human vision. - Camille Breuil; Ben Jennings; Simon Barthelmé; Nathalie Guyader; Frederick A. A. Kingdom (PLoS Comput. Biol., 2019)

Smoothing Graph Signals via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2020)

Spectral Properties of Kernel Matrices in the Flat Limit. - Simon Barthelmé; Konstantin Usevich (SIAM J. Matrix Anal. Appl., 2021)

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (EUSIPCO, 2022)

Gaussian Process Regression in the Flat Limit. - Simon Barthelmé; Pierre-Olivier Amblard; Nicolas Tremblay; Konstantin Usevich (CoRR, 2022)

A Faster Sampler for Discrete Determinantal Point Processes. - Simon Barthelmé; Nicolas Tremblay; Pierre-Olivier Amblard (AISTATS, 2023)

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. - Hugo Jaquard; Michaël Fanuel; Pierre-Olivier Amblard; Rémi Bardenet; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2023)

Almost Exclusively Linear Algebra: An Introduction to Determinantal Point Processes: An Introduction to Determinantal Point Processes. - Simon Barthelmé (2024)

Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. - Hugo Jaquard; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (CoRR, 2024)

Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. - Konstantin Usevich; Simon Barthelmé (CoRR, 2024)

Node Regression on Latent Position Random Graphs via Local Averaging. - Martin Gjorgjevski; Nicolas Keriven; Simon Barthelmé; Yohann De Castro (CoRR, 2024)