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
962014
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
892014
Spatial statistics and attentional dynamics in scene viewing
R Engbert, HA Trukenbrod, S Barthelmé, FA Wichmann
Journal of vision 15 (1), 14-14, 2015
822015
Flexible mechanisms underlie the evaluation of visual confidence
S Barthelmé, P Mamassian
Proceedings of the National Academy of Sciences 107 (48), 20834-20839, 2010
822010
Evaluation of objective uncertainty in the visual system
S Barthelmé, P Mamassian
PLoS computational biology 5 (9), e1000504, 2009
712009
Modeling fixation locations using spatial point processes
S Barthelmé, H Trukenbrod, R Engbert, F Wichmann
Journal of vision 13 (12), 1-1, 2013
452013
Expectation propagation in the large-data limit
G Dehaene, S Barthelmé
arXiv preprint arXiv:1503.08060, 2015
442015
Improved classification images with sparse priors in a smooth basis
PJ Mineault, S Barthelme, CC Pack
Journal of Vision 9 (10), 17-17, 2009
442009
A probabilistic approach to demixing odors
A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ...
Nature neuroscience 20 (1), 98-106, 2017
342017
Graph sampling with determinantal processes
N Tremblay, PO Amblard, S Barthelmé
2017 25th European Signal Processing Conference (EUSIPCO), 1674-1678, 2017
332017
ABC-EP: expectation propagation for likelihoodfree Bayesian computation
S Barthelmé, N Chopin
ICML, 2011
262011
Bounding errors of expectation-propagation
GP Dehaene, S Barthelmé
arXiv preprint arXiv:1601.02387, 2016
232016
Determinantal Point Processes for Coresets.
N Tremblay, S Barthelmé, PO Amblard
J. Mach. Learn. Res. 20, 168:1-168:70, 2019
172019
Optimized algorithms to sample determinantal point processes
N Tremblay, S Barthelme, PO Amblard
arXiv preprint arXiv:1802.08471, 2018
162018
Asymptotic equivalence of fixed-size and varying-size determinantal point processes
S Barthelmé, PO Amblard, N Tremblay
Bernoulli 25 (4B), 3555-3589, 2019
122019
Divide and conquer in ABC: Expectation-propagation algorithms for likelihood-free inference
S Barthelmé, N Chopin, V Cottet
Handbook of Approximate Bayesian Computation, 415-434, 2018
112018
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
72020
The Poisson transform for unnormalised statistical models
S Barthelmé, N Chopin
Statistics and Computing 25 (4), 767-780, 2015
72015
A flexible Bayesian method for adaptive measurement in psychophysics
S Barthelmé, P Mamassian
arXiv preprint arXiv:0809.0387, 2008
72008
Spectral properties of kernel matrices in the flat limit
S Barthelmé, K Usevich
SIAM Journal on Matrix Analysis and Applications 42 (1), 17-57, 2021
42021
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