Simon Barthelmé

According to our database, Simon Barthelmé authored at least 25 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Node Regression on Latent Position Random Graphs via Local Averaging.

Martin Gjorgjevski, Nicolas Keriven, Simon Barthelmé, Yohann De Castro

CoRR, 2024

Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices.

Konstantin Usevich, Simon Barthelmé

CoRR, 2024

Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs.

Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay

CoRR, 2024

2023

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo.

Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay

Proceedings of the IEEE International Conference on Acoustics, 2023

A Faster Sampler for Discrete Determinantal Point Processes.

Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Gaussian Process Regression in the Flat Limit.

Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich

CoRR, 2022

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems.

Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay

Proceedings of the 30th European Signal Processing Conference, 2022

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

Spectral Properties of Kernel Matrices in the Flat Limit.

Simon Barthelmé, Konstantin Usevich

SIAM J. Matrix Anal. Appl., 2021

2020

Smoothing Graph Signals via Random Spanning Forests.

Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Color improves edge classification in human vision.

Camille Breuil, Ben Jennings, Simon Barthelmé, Nathalie Guyader, Frederick A. A. Kingdom

PLoS Comput. Biol., 2019

imager: an R package for image processing based on CImg.

Simon Barthelmé, David Tschumperlé

J. Open Source Softw., 2019

Determinantal Point Processes for Coresets.

Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

J. Mach. Learn. Res., 2019

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

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2019

2018

Optimized Algorithms to Sample Determinantal Point Processes.

Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

CoRR, 2018

Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets.

Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Non-Linear Source Separation Under the Langmuir Model for Chemical Sensors.

Pierre Maho, Simon Barthelmé, Pierre Comon

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

2017

Echantillonnage de signaux sur graphes via des processus déterminantaux.

Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

CoRR, 2017

Graph sampling with determinantal processes.

Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Visualizing the effects of a changing distance on data using continuous embeddings.

Gina Gruenhage, Manfred Opper, Simon Barthelmé

Comput. Stat. Data Anal., 2016

2015

The Poisson transform for unnormalised statistical models.

Simon Barthelmé, Nicolas Chopin

Stat. Comput., 2015

Fast matrix computations for functional additive models.

Simon Barthelmé

Stat. Comput., 2015

Bounding errors of Expectation-Propagation.

Guillaume P. Dehaene, Simon Barthelmé

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2011

ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation.

Simon Barthelmé, Nicolas Chopin

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Evaluation of Objective Uncertainty in the Visual System.

Simon Barthelmé, Pascal Mamassian

PLoS Comput. Biol., 2009