| Expectation propagation for likelihood-free inference S Barthelmé, N Chopin Journal of the American Statistical Association 109 (505), 315-333, 2014 | 109 | 2014 |
| Expectation propagation for likelihood-free inference S Barthelmé, N Chopin Journal of the American Statistical Association 109 (505), 315-333, 2014 | 102 | 2014 |
| Flexible mechanisms underlie the evaluation of visual confidence S Barthelmé, P Mamassian Proceedings of the National Academy of Sciences 107 (48), 20834-20839, 2010 | 92 | 2010 |
| Evaluation of objective uncertainty in the visual system S Barthelmé, P Mamassian PLoS computational biology 5 (9), e1000504, 2009 | 90 | 2009 |
| Spatial statistics and attentional dynamics in scene viewing R Engbert, HA Trukenbrod, S Barthelmé, FA Wichmann Journal of vision 15 (1), 14-14, 2015 | 87 | 2015 |
| Modeling fixation locations using spatial point processes S Barthelmé, H Trukenbrod, R Engbert, F Wichmann Journal of vision 13 (12), 1-1, 2013 | 52 | 2013 |
| Improved classification images with sparse priors in a smooth basis PJ Mineault, S Barthelme, CC Pack Journal of Vision 9 (10), 17-17, 2009 | 49 | 2009 |
| Expectation propagation in the large data limit G Dehaene, S Barthelmé Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 44 | 2018 |
| A probabilistic approach to demixing odors A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ... Nature neuroscience 20 (1), 98-106, 2017 | 39 | 2017 |
| Graph sampling with determinantal processes N Tremblay, PO Amblard, S Barthelmé 2017 25th European Signal Processing Conference (EUSIPCO), 1674-1678, 2017 | 35 | 2017 |
| Determinantal Point Processes for Coresets. N Tremblay, S Barthelmé, PO Amblard J. Mach. Learn. Res. 20, 168:1-168:70, 2019 | 26 | 2019 |
| Bounding errors of expectation-propagation GP Dehaene, S Barthelmé Advances in Neural Information Processing Systems 28, 2015 | 24 | 2015 |
| ABC-EP: expectation propagation for likelihoodfree Bayesian computation S Barthelmé, N Chopin ICML, 2011 | 24 | 2011 |
| Optimized algorithms to sample determinantal point processes N Tremblay, S Barthelme, PO Amblard arXiv preprint arXiv:1802.08471, 2018 | 17 | 2018 |
| 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 | 15 | 2020 |
| Asymptotic equivalence of fixed-size and varying-size determinantal point processes S Barthelmé, PO Amblard, N Tremblay Bernoulli 25 (4B), 3555-3589, 2019 | 13 | 2019 |
| Divide and conquer in ABC: Expectationpropagation algorithms for likelihood-free inference S Barthelmé, N Chopin, V Cottet Handbook of Approximate Bayesian Computation, 415-34, 2018 | 13 | 2018 |
| 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 | 7 | 2021 |
| The Poisson transform for unnormalised statistical models S Barthelmé, N Chopin Statistics and Computing 25 (4), 767-780, 2015 | 7 | 2015 |
| A flexible Bayesian method for adaptive measurement in psychophysics S Barthelmé, P Mamassian arXiv preprint arXiv:0809.0387, 2008 | 7 | 2008 |
