NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform A Thin, YJ El Idrissi, S Le Corff, C Ollion, E Moulines, A Doucet, A Durmus, ... Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 22* | 2021 |
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. G Cardoso, Y Janati, E Moulines, S Le Corff The Twelfth International Conference on Learning Representations, 2023 | 8* | 2023 |
Structured variational Bayesian inference for Gaussian state-space models with regime switching Y Petetin, Y Janati, F Desbouvries IEEE Signal Processing Letters 28, 1953-1957, 2021 | 5 | 2021 |
State and parameter learning with PARIS particle Gibbs G Cardoso, YJ El Idrissi, S Le Corff, É Moulines, J Olsson International Conference on Machine Learning, 3625-3675, 2023 | 4 | 2023 |
Variance estimation for sequential Monte Carlo algorithms: A backward sampling approach Y Janati El Idrissi, S Le Corff, Y Petetin Bernoulli 30 (2), 911-935, 2024 | 2* | 2024 |
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Y Janati, A Durmus, E Moulines, J Olsson arXiv preprint arXiv:2403.11407, 2024 | | 2024 |