Simon Barthelmé

34 papers A* 1A 1Misc 2Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computing Asymptotic Eigenvectors and Eigenvalues of Perturbed Symmetric Matrices. SIAM J. Matrix Anal. Appl. Konstantin Usevich, Simon Barthelmé
2025	J	`jnl`	Random Multitype Spanning Forests for Synchronization on Sparse Graphs. SIAM J. Math. Data Sci. Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2024	—	`book`	Almost Exclusively Linear Algebra: An Introduction to Determinantal Point Processes: An Introduction to Determinantal Point Processes. Simon Barthelmé
2024	J	`jnl`	Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. CoRR Konstantin Usevich, Simon Barthelmé
2024	J	`jnl`	Node Regression on Latent Position Random Graphs via Local Averaging. CoRR Martin Gjorgjevski, Nicolas Keriven, Simon Barthelmé, Yohann de Castro
2024	J	`jnl`	Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2023	A	`conf`	A Faster Sampler for Discrete Determinantal Point Processes. AISTATS Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
2023	Misc	`conf`	Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
2022	J	`jnl`	A Faster Sampler for Discrete Determinantal Point Processes. CoRR Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
2022	J	`jnl`	Gaussian Process Regression in the Flat Limit. CoRR Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
2022	—	`conf`	Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2021	J	`jnl`	Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. IEEE Trans. Signal Inf. Process. over Networks Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2021	J	`jnl`	Spectral Properties of Kernel Matrices in the Flat Limit. SIAM J. Matrix Anal. Appl. Simon Barthelmé, Konstantin Usevich
2020	J	`jnl`	Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2020	Misc	`conf`	Smoothing Graph Signals via Random Spanning Forests. ICASSP Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2019	J	`jnl`	Color improves edge classification in human vision. PLoS Comput. Biol. Camille Breuil, Ben Jennings, Simon Barthelmé, Nathalie Guyader, Frederick A. A. Kingdom
2019	J	`jnl`	Determinantal Point Processes for Coresets. J. Mach. Learn. Res. Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2019	—	`conf`	Olfactive robot for gas discrimination over several months using a new optoelectronic nose. ISOEN Pierre Maho, Carlos Leonardo Dolcinotti, Thierry Livache, Cyril Herrier, Anton Andreev, Pierre Comon, Simon Barthelmé
2019	J	`jnl`	Smoothing graph signals via random spanning forests. CoRR Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2019	J	`jnl`	Spectral properties of kernel matrices in the flat limit. CoRR Simon Barthelmé, Konstantin Usevich
2019	J	`jnl`	imager: an R package for image processing based on CImg. J. Open Source Softw. Simon Barthelmé, David Tschumperlé
2018	J	`jnl`	Determinantal Point Processes for Coresets. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2018	—	`conf`	Non-Linear Source Separation Under the Langmuir Model for Chemical Sensors. SAM Pierre Maho, Simon Barthelmé, Pierre Comon
2018	J	`jnl`	Optimized Algorithms to Sample Determinantal Point Processes. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2018	—	`conf`	Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2017	J	`jnl`	Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2017	—	`conf`	Graph sampling with determinantal processes. EUSIPCO Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
2017	J	`jnl`	Graph sampling with determinantal processes. CoRR Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
2016	J	`jnl`	Visualizing the effects of a changing distance on data using continuous embeddings. Comput. Stat. Data Anal. Gina Gruenhage, Manfred Opper, Simon Barthelmé
2015	—	`conf`	Bounding errors of Expectation-Propagation. NIPS Guillaume P. Dehaene, Simon Barthelmé
2015	J	`jnl`	Fast matrix computations for functional additive models. Stat. Comput. Simon Barthelmé
2015	J	`jnl`	The Poisson transform for unnormalised statistical models. Stat. Comput. Simon Barthelmé, Nicolas Chopin
2011	A*	`conf`	ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. ICML Simon Barthelmé, Nicolas Chopin
2009	J	`jnl`	Evaluation of Objective Uncertainty in the Visual System. PLoS Comput. Biol. Simon Barthelmé, Pascal Mamassian