Simon Barthelmé

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Point Processes

Statistical Model

Gaussian Process Regression

Top Venues

Publications

Konstantin Usevich, Simon Barthelmé
Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. CoRR (2024)
Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR (2024)
Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP (2023)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS (2023)
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
Gaussian Process Regression in the Flat Limit. CoRR (2022)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO (2022)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. CoRR (2022)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Simon Barthelmé, Konstantin Usevich
Spectral Properties of Kernel Matrices in the Flat Limit. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR (2020)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing Graph Signals via Random Spanning Forests. ICASSP (2020)
Simon Barthelmé, David Tschumperlé
imager: an R package for image processing based on CImg. J. Open Source Softw. 4 (38) (2019)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing graph signals via random spanning forests. CoRR (2019)
Simon Barthelmé, Konstantin Usevich
Spectral properties of kernel matrices in the flat limit. CoRR (2019)
Pierre Maho, Carlos Leonardo Dolcinotti, Thierry Livache, Cyril Herrier, Anton Andreev, Pierre Comon, Simon Barthelmé
Olfactive robot for gas discrimination over several months using a new optoelectronic nose. ISOEN (2019)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20 (2019)
Camille Breuil, Ben Jennings, Simon Barthelmé, Nathalie Guyader, Frederick A. A. Kingdom
Color improves edge classification in human vision. PLoS Comput. Biol. 15 (10) (2019)
Pierre Maho, Simon Barthelmé, Pierre Comon
Non-Linear Source Separation Under the Langmuir Model for Chemical Sensors. SAM (2018)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. CoRR (2018)
Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP (2018)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Optimized Algorithms to Sample Determinantal Point Processes. CoRR (2018)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. EUSIPCO (2017)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. CoRR (2017)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR (2017)
Gina Gruenhage, Manfred Opper, Simon Barthelmé
Visualizing the effects of a changing distance on data using continuous embeddings. Comput. Stat. Data Anal. 104 (2016)
Simon Barthelmé, Nicolas Chopin
The Poisson transform for unnormalised statistical models. Stat. Comput. 25 (4) (2015)
Guillaume P. Dehaene, Simon Barthelmé
Bounding errors of Expectation-Propagation. NIPS (2015)
Simon Barthelmé
Fast matrix computations for functional additive models. Stat. Comput. 25 (1) (2015)
Simon Barthelmé, Nicolas Chopin
ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. ICML (2011)
Simon Barthelmé, Pascal Mamassian
Evaluation of Objective Uncertainty in the Visual System. PLoS Comput. Biol. 5 (9) (2009)