| Expectation propagation for likelihood-free inference S Barthelmé, N Chopin Journal of the American Statistical Association 109 (505), 315-333, 2014 | 119 | 2014 |
| Evaluation of objective uncertainty in the visual system S Barthelmé, P Mamassian PLoS computational biology 5 (9), e1000504, 2009 | 119 | 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 | 114 | 2015 |
| Flexible mechanisms underlie the evaluation of visual confidence S Barthelmé, P Mamassian Proceedings of the National Academy of Sciences 107 (48), 20834-20839, 2010 | 104 | 2010 |
| imager: image processing library based on ‘CImg’ S Barthelme, D Tschumperle, J Wijffels R package version 0.42 1, 2020 | 84 | 2020 |
| A probabilistic approach to demixing odors A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ... Nature neuroscience 20 (1), 98-106, 2017 | 65 | 2017 |
| Expectation propagation in the large data limit G Dehaene, S Barthelmé Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018 | 60 | 2018 |
| Modeling fixation locations using spatial point processes S Barthelmé, H Trukenbrod, R Engbert, F Wichmann Journal of vision 13 (12), 1-1, 2013 | 57 | 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 | 55 | 2009 |
| Graph sampling with determinantal processes N Tremblay, PO Amblard, S Barthelmé 2017 25th European signal processing conference (EUSIPCO), 1674-1678, 2017 | 54 | 2017 |
| imager: Image processing library based on ‘CImg’. R package version 0.40. 2 S Barthelme | 43 | 2017 |
| Determinantal point processes for coresets N Tremblay, S Barthelmé, PO Amblard Journal of Machine Learning Research 20 (168), 1-70, 2019 | 39 | 2019 |
| 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 | 34 | 2020 |
| Bounding errors of expectation-propagation GP Dehaene, S Barthelmé Advances in Neural Information Processing Systems 28, 2015 | 33 | 2015 |
| imager: an R package for image processing based on CImg S Barthelmé, D Tschumperlé Journal of Open Source Software 4 (38), 1012, 2019 | 28 | 2019 |
| ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. S Barthelmé, N Chopin ICML, 289-296, 2011 | 27 | 2011 |
| 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 | 26 | 2021 |
| 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 | 24 | 2021 |
| Estimating the inverse trace using random forests on graphs S Barthelmé, N Tremblay, A Gaudilliere, L Avena, PO Amblard arXiv preprint arXiv:1905.02086, 2019 | 20 | 2019 |
| Asymptotic equivalence of fixed-size and varying-size determinantal point processes S Barthelmé, PO Amblard, N Tremblay | 18 | 2019 |
