Sylvain Le Corff
Sylvain Le Corff
LPSM, Sorbonne Université
Потвърден имейл адрес: sorbonne-universite.fr - Начална страница
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
H Hälvä, S Le Corff, L Lehéricy, J So, Y Zhu, E Gassiat, A Hyvarinen
Advances in Neural Information Processing Systems 34, 2021
Online Expectation Maximization based algorithms for inference in hidden Markov models
S Le Corff, G Fort
Electronic Journal of Statistics 7, 763-792, 2013
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
Y De Castro, E Gassiat, S Le Corff
IEEE Transactions on Information Theory 63 (8), 4758-4777, 2017
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
A Schreck, G Fort, S Le Corff, E Moulines
IEEE Journal of Selected Topics in Signal Processing 10 (2), 366 - 375, 2013
Simultaneous localization and mapping problem in wireless sensor networks
T Dumont, S Le Corff
Signal Processing 101, 192-203, 2014
Online Expectation Maximization algorithm to solve the SLAM problem
S Le Corff, G Fort, E Moulines
2011 IEEE statistical signal processing workshop (SSP), 225-228, 2011
Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models
C Dubarry, S Le Corff
Bernoulli 19 (5B), 2222-2249, 2013
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
A Thin, Y Janati El Idrissi, S Le Corff, C Ollion, E Moulines, A Doucet, ...
Advances in Neural Information Processing Systems 34, 2021
Stochastic differential equation based on a multimodal potential to model movement data in ecology
P Gloaguen, MP Etienne, S Le Corff
Journal of the Royal Statistical Society: Series C 67 (3), 2015
Optimal scaling of the Random Walk Metropolis algorithm under Lp mean differentiability
A Durmus, S Le Corff, E Moulines, GO Roberts
Journal of Applied Probability 54 (4), 1233-1260, 2017
Convergence of a particle-based approximation of the Block Online Expectation Maximization algorithm
S Le Corff, G Fort
ACM Trans. Model. Comput. Simul. 23 (1), 1-22, 2013
A pseudo-marginal sequential Monte Carlo online smoothing algorithm
P Gloaguen, S Le Corff, J Olsson
Bernoulli 28 (4), 2606-2633, 2022
Deconvolution with unknown noise distribution is possible for multivariate signals
E Gassiat, S Le Corff, L Lehéricy
The Annals of Statistics 50 (1), 303-323, 2022
Nonparametric regression on hidden -mixing variables: Identifiability and consistency of a pseudo-likelihood based estimation procedure
T Dumont, S Le Corff
Bernoulli 23 (2), 990-1021, 2017
Online sequential Monte Carlo smoother for partially observed diffusion processes
P Gloaguen, MP Étienne, S Le Corff
EURASIP Journal on Advances in Signal Processing 2018, 1-14, 2018
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
G Cardoso, S Le Corff, E Moulines
The Twelfth International Conference on Learning Representations, 2024
Diffusion bridges vector quantized Variational AutoEncoders
M Cohen, G Quispe, S Le Corff, C Ollion, E Moulines
International Conference on Machine Learning 39, 4141-4156, 2022
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
M Cohen, S Le Corff, M Charbit, A Champagne, M Preda, G Nozière
Energy and Buildings 250, 2021
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
E Gassiat, S Le Corff, L Lehéricy
The Journal of Machine Learning Research 21 (115), 1−40, 2020
Learning natural language generation with truncated reinforcement learning
A Martin, G Quispe, C Ollion, S Le Corff, F Strub, O Pietquin
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20