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 | 60 | 2021 |
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 | 43 | 2017 |
Online Expectation Maximization based algorithms for inference in hidden Markov models S Le Corff, G Fort Electronic Journal of Statistics 7, 763-792, 2013 | 43 | 2013 |
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 | 42 | 2013 |
Simultaneous localization and mapping problem in wireless sensor networks T Dumont, S Le Corff Signal Processing 101, 192-203, 2014 | 37 | 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 | 28 | 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 | 24 | 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 | 23* | 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 | 17* | 2015 |
A pseudo-marginal sequential Monte Carlo online smoothing algorithm P Gloaguen, S Le Corff, J Olsson Bernoulli 28 (4), 2606-2633, 2022 | 16 | 2022 |
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 | 16 | 2013 |
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 | 15* | 2017 |
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 | 14 | 2017 |
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 | 13* | 2024 |
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 | 13 | 2022 |
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 | 12 | 2022 |
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 | 12 | 2018 |
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 | 11 | 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 | 10* | 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 | 10* | 2021 |