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Simon Barthelmé
Simon Barthelmé
CNRS Research Fellow, Gipsa-lab
Verified email at gipsa-lab.fr - Homepage
Title
Cited by
Cited by
Year
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
1142014
Evaluation of objective uncertainty in the visual system
S Barthelmé, P Mamassian
PLoS computational biology 5 (9), e1000504, 2009
1112009
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
1072014
Spatial statistics and attentional dynamics in scene viewing
R Engbert, HA Trukenbrod, S Barthelmé, FA Wichmann
Journal of vision 15 (1), 14-14, 2015
1052015
Flexible mechanisms underlie the evaluation of visual confidence
S Barthelmé, P Mamassian
Proceedings of the National Academy of Sciences 107 (48), 20834-20839, 2010
1012010
imager: image processing library based on ‘CImg’
S Barthelme
R package version 0.41 42, 2019
782019
Expectation propagation in the large data limit
G Dehaene, S Barthelmé
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018
572018
A probabilistic approach to demixing odors
A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ...
Nature neuroscience 20 (1), 98-106, 2017
572017
Modeling fixation locations using spatial point processes
S Barthelmé, H Trukenbrod, R Engbert, F Wichmann
Journal of vision 13 (12), 1-1, 2013
552013
Improved classification images with sparse priors in a smooth basis
PJ Mineault, S Barthelme, CC Pack
Journal of Vision 9 (10), 17-17, 2009
542009
Graph sampling with determinantal processes
N Tremblay, PO Amblard, S Barthelmé
2017 25th European signal processing conference (EUSIPCO), 1674-1678, 2017
462017
imager: Image processing library based on ‘CImg’. R package version 0.40. 2
S Barthelme
362017
Determinantal point processes for coresets
N Tremblay, S Barthelmé, PO Amblard
Journal of Machine Learning Research 20 (168), 1-70, 2019
312019
Bounding errors of expectation-propagation
GP Dehaene, S Barthelmé
Advances in Neural Information Processing Systems 28, 2015
292015
Reliable chiral recognition with an optoelectronic nose
P Maho, C Herrier, T Livache, G Rolland, P Comon, S Barthelmé
Biosensors and Bioelectronics 159, 112183, 2020
282020
ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation.
S Barthelmé, N Chopin
ICML, 289-296, 2011
272011
imager: an R package for image processing based on CImg
S Barthelmé, D Tschumperlé
Journal of Open Source Software 4 (38), 1012, 2019
192019
Asymptotic equivalence of fixed-size and varying-size determinantal point processes
S Barthelmé, PO Amblard, N Tremblay
162019
Optimized algorithms to sample determinantal point processes
N Tremblay, S Barthelme, PO Amblard
arXiv preprint arXiv:1802.08471, 2018
162018
Graph tikhonov regularization and interpolation via random spanning forests
YY Pilavcı, PO Amblard, S Barthelmé, N Tremblay
IEEE transactions on Signal and Information Processing over Networks 7, 359-374, 2021
142021
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