| Parametric bandits: The generalized linear case S Filippi, O Cappe, A Garivier, C Szepesvári Advances in Neural Information Processing Systems 23, 2010 | 422 | 2010 |
| Age groups that sustain resurging COVID-19 epidemics in the United States M Monod, A Blenkinsop, X Xi, D Hebert, S Bershan, S Tietze, M Baguelin, ... Science 371 (6536), eabe8372, 2021 | 229 | 2021 |
| A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation J Liepe, P Kirk, S Filippi, T Toni, CP Barnes, MPH Stumpf Nature protocols 9 (2), 439-456, 2014 | 226 | 2014 |
| Maximizing the information content of experiments in systems biology J Liepe, S Filippi, M Komorowski, MPH Stumpf PLoS computational biology 9 (1), e1002888, 2013 | 202 | 2013 |
| Perturbation of fetal liver hematopoietic stem and progenitor cell development by trisomy 21 A Roy, G Cowan, AJ Mead, S Filippi, G Bohn, A Chaidos, O Tunstall, ... Proceedings of the National Academy of Sciences 109 (43), 17579-17584, 2012 | 152 | 2012 |
| State-level tracking of COVID-19 in the United States HJT Unwin, S Mishra, VC Bradley, A Gandy, TA Mellan, H Coupland, ... Nature communications 11 (1), 6189, 2020 | 146 | 2020 |
| On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo S Filippi, CP Barnes, J Cornebise, MPH Stumpf Statistical Applications in Genetics and Molecular Biology, 1-21, 2011 | 142 | 2011 |
| Optimism in reinforcement learning and Kullback-Leibler divergence S Filippi, O Cappé, A Garivier 2010 48th Annual Allerton Conference on Communication, Control, and …, 2010 | 113 | 2010 |
| Large-scale kernel methods for independence testing Q Zhang, S Filippi, A Gretton, D Sejdinovic Statistics and Computing 28, 113-130, 2018 | 110 | 2018 |
| Considerate approaches to constructing summary statistics for ABC model selection CP Barnes, S Filippi, MPH Stumpf, T Thorne Statistics and Computing 22, 1181-1197, 2012 | 79* | 2012 |
| Robustness of MEK-ERK dynamics and origins of cell-to-cell variability in MAPK signaling S Filippi, CP Barnes, PDW Kirk, T Kudo, K Kunida, SS McMahon, ... Cell reports 15 (11), 2524-2535, 2016 | 62 | 2016 |
| Information theory and signal transduction systems: from molecular information processing to network inference SS Mc Mahon, A Sim, S Filippi, R Johnson, J Liepe, D Smith, MPH Stumpf Seminars in cell & developmental biology 35, 98-108, 2014 | 58 | 2014 |
| The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia AL MacLean, S Filippi, MPH Stumpf Proceedings of the National Academy of Sciences 111 (10), 3883-3888, 2014 | 57 | 2014 |
| Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems D Silk, S Filippi, MPH Stumpf Statistical applications in genetics and molecular biology 12 (5), 603-618, 2013 | 53 | 2013 |
| Bayesian learning of kernel embeddings S Flaxman, D Sejdinovic, JP Cunningham, S Filippi arXiv preprint arXiv:1603.02160, 2016 | 39 | 2016 |
| Stem and progenitor cell dysfunction in human trisomies B Liu, S Filippi, A Roy, I Roberts EMBO reports 16 (1), 44-62, 2015 | 36 | 2015 |
| Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight Elife 10, e60060, 2021 | 35 | 2021 |
| A Bayesian nonparametric approach to testing for dependence between random variables S Filippi, CC Holmes | 34 | 2017 |
| Information processing by simple molecular motifs and susceptibility to noise SS Mc Mahon, O Lenive, S Filippi, MPH Stumpf Journal of The Royal Society Interface 12 (110), 20150597, 2015 | 32 | 2015 |
| An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling T Jetka, K Nienałtowski, S Filippi, MPH Stumpf, M Komorowski Nature communications 9 (1), 4591, 2018 | 29 | 2018 |
Olivier CappéCNRSVerified email at cnrs.fr
