Generalized event-chain Monte Carlo: Constructing rejection-free global-balance algorithms from infinitesimal steps M Michel, SC Kapfer, W Krauth The Journal of chemical physics 140 (5), 054116, 2014 | 164 | 2014 |
Event-chain Monte Carlo for classical continuous spin models M Michel, J Mayer, W Krauth Europhysics Letters 112 (2), 20003, 2015 | 60 | 2015 |
Event-chain algorithm for the Heisenberg model: Evidence for dynamic scaling Y Nishikawa, M Michel, W Krauth, K Hukushima Physical Review E 92 (6), 063306, 2015 | 50 | 2015 |
Event-chain algorithm for the Heisenberg model: Evidence for dynamic scaling Y Nishikawa, M Michel, W Krauth, K Hukushima Physical Review E 92 (6), 063306, 2015 | 50 | 2015 |
Event-chain algorithm for the Heisenberg model: Evidence for z≃ 1 dynamic scaling Y Nishikawa, M Michel, W Krauth, K Hukushima Physical Review E 92 (6), 063306, 2015 | 50 | 2015 |
Event-chain Monte Carlo algorithms for three-and many-particle interactions J Harland, M Michel, TA Kampmann, J Kierfeld EPL (Europhysics Letters) 117 (3), 30001, 2017 | 31 | 2017 |
Forward event-chain Monte Carlo: Fast sampling by randomness control in irreversible Markov chains M Michel, A Durmus, S Sénécal Journal of Computational and Graphical Statistics 29 (4), 689-702, 2020 | 28 | 2020 |
Clock monte carlo methods M Michel, X Tan, Y Deng Physical Review E 99 (1), 010105, 2019 | 15 | 2019 |
Clock monte carlo methods M Michel, X Tan, Y Deng Physical Review E 99 (1), 010105, 2019 | 15 | 2019 |
Mass distributions of stars and cores in young groups and clusters M Michel, H Kirk, PC Myers The Astrophysical Journal 735 (1), 51, 2011 | 15 | 2011 |
Chaînes de Markov irréversibles par le filtre factorisé de Metropolis: algorithme et applications dans des systèmes de particules et des modèles de spins M Michel PSL Research University, 2016 | 14* | 2016 |
Irreversible Markov chains by the factorized Metropolis filter: Algorithms and applications in particle systems and spin models M Michel Ecole Normale Superieure de Paris-ENS Paris, 2016 | 14 | 2016 |
Forward Event-Chain Monte Carlo: a general rejection-free and irreversible Markov chain simulation method M Michel, S Sénécal arXiv preprint arXiv:1702.08397, 2017 | 13 | 2017 |
PDMP characterisation of event-chain Monte Carlo algorithms for particle systems A Monemvassitis, A Guillin, M Michel Journal of Statistical Physics 190 (3), 66, 2023 | 8 | 2023 |
Loop-Cluster Coupling and Algorithm for Classical Statistical Models L Zhang, M Michel, EM Elçi, Y Deng Physical Review Letters 125 (20), 200603, 2020 | 7 | 2020 |
Necessary and sufficient symmetries in Event-Chain Monte Carlo with generalized flows and Application to hard dimers T Guyon, A Guillin, M Michel arXiv preprint arXiv:2307.02341, 2023 | 2 | 2023 |
Law of large numbers and central limit theorem for wide two-layer neural networks: the mini-batch and noisy case A Descours, A Guillin, M Michel, B Nectoux arXiv preprint arXiv:2207.12734, 2022 | 2 | 2022 |
Jamming pair of general run-and-tumble particles: Exact results and universality classes L Hahn, A Guillin, M Michel arXiv preprint arXiv:2306.00831, 2023 | 1 | 2023 |
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference A Descours, T Huix, A Guillin, M Michel, É Moulines, B Nectoux The Thirty Sixth Annual Conference on Learning Theory, 4657-4695, 2023 | | 2023 |
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity V Souveton, A Guillin, J Jasche, G Lavaux, M Michel arXiv preprint arXiv:2302.01955, 2023 | | 2023 |