フォロー
Manon Michel
Manon Michel
Laboratoire de Mathématiques Blaise Pascal - Université Clermont-Auvergne
確認したメール アドレス: math.cnrs.fr - ホームページ
タイトル
引用先
引用先
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
1622014
Event-chain Monte Carlo for classical continuous spin models
M Michel, J Mayer, W Krauth
Europhysics Letters 112 (2), 20003, 2015
602015
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
502015
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
502015
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
502015
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
312017
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
272020
Clock monte carlo methods
M Michel, X Tan, Y Deng
Physical Review E 99 (1), 010105, 2019
152019
Clock monte carlo methods
M Michel, X Tan, Y Deng
Physical Review E 99 (1), 010105, 2019
152019
Mass distributions of stars and cores in young groups and clusters
M Michel, H Kirk, PC Myers
The Astrophysical Journal 735 (1), 51, 2011
152011
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
142016
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
132017
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
82023
Loop-Cluster Coupling and Algorithm for Classical Statistical Models
L Zhang, M Michel, EM Elçi, Y Deng
Physical Review Letters 125 (20), 200603, 2020
62020
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
22023
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
22022
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
12023
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
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