Sylvain Le Corff

41 papers A* 6A 1Misc 1Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diffusion posterior sampling for simulation-based inference in tall data settings.
Trans. Mach. Learn. Res.
Julia Linhart, Gabriel Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues
2026 J jnl
On Forgetting and Stability of Score-based Generative models.
CoRR
Stanislas Strasman, Gabriel Cardoso, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello
2026 J jnl
TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata.
BMC Bioinform.
Alexandre Chaussard, Anna Bonnet, Sylvain Le Corff, Harry Sokol
2025 J jnl
An analysis of the noise schedule for score-based generative models.
Trans. Mach. Learn. Res.
Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire
2025 J jnl
Latent Guided Sampling for Combinatorial Optimization.
CoRR
Sobihan Surendran, Adeline Fermanian, Sylvain Le Corff
2025 A conf
Theoretical Convergence Guarantees for Variational Autoencoders.
AISTATS
Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff
2025 J jnl
Tree-based variational inference for Poisson log-normal models.
Stat. Comput.
Alexandre Chaussard, Anna Bonnet, Elisabeth Gassiat, Sylvain Le Corff
2024 J jnl
Additive smoothing error in backward variational inference for general state-space models.
J. Mach. Learn. Res.
Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff
2024 J jnl
Diffusion posterior sampling for simulation-based inference in tall data settings.
CoRR
Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues
2024 J jnl
Identifiability of discrete input-output hidden Markov models with external signals.
Stat. Comput.
Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy
2024 A* conf
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
ICLR
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
2024 A* conf
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
NeurIPS
Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff
2024 J jnl
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
CoRR
Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff
2024 J jnl
Theoretical Convergence Guarantees for Variational Autoencoders.
CoRR
Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff
2024 J jnl
Variational excess risk bound for general state space models.
Trans. Mach. Learn. Res.
Elisabeth Gassiat, Sylvain Le Corff
2024 J jnl
Variational quantization for state space models.
CoRR
Etienne David, Jean Bellot, Sylvain Le Corff
2023 J jnl
Backward Importance Sampling for Online Estimation of State Space Models.
J. Comput. Graph. Stat.
Alice Martin, Marie-Pierre Étienne, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
2023 J jnl
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series.
Trans. Mach. Learn. Res.
Etienne David, Jean Bellot, Sylvain Le Corff
2023 J jnl
Monte Carlo guided Diffusion for Bayesian linear inverse problems.
CoRR
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
2023 A* conf
State and parameter learning with PARIS particle Gibbs.
ICML
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson
2022 A* conf
Diffusion bridges vector quantized variational autoencoders.
ICML
Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
2022 — conf
Learning Natural Language Generation with Truncated Reinforcement Learning.
NAACL-HLT
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
2021 A* conf
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
NeurIPS
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
2021 J jnl
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
CoRR
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
2021 J jnl
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort.
CoRR
Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière
2021 J jnl
Joint self-supervised blind denoising and noise estimation.
CoRR
Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff
2021 J jnl
Learning Natural Language Generation from Scratch.
CoRR
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
2021 A* conf
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform.
NeurIPS
Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X. Robert
2020 J jnl
End-to-end deep metamodeling to calibrate and optimize energy loads.
CoRR
Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière
2020 J jnl
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.
J. Mach. Learn. Res.
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
2020 J jnl
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction.
CoRR
Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin
2018 J jnl
Online sequential Monte Carlo smoother for partially observed diffusion processes.
EURASIP J. Adv. Signal Process.
Pierre Gloaguen, Marie-Pierre Étienne, Sylvain Le Corff
2018 — conf
Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work.
DSW
Sylvain Le Corff, Alain Champagne, Maurice Charbit, Gilles Nozière, Eric Moulines
2017 J jnl
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models.
IEEE Trans. Inf. Theory
Yohann de Castro, Elisabeth Gassiat, Sylvain Le Corff
2017 J jnl
Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability.
J. Appl. Probab.
Alain Durmus, Sylvain Le Corff, Eric Moulines, Gareth O. Roberts
2017 J jnl
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models.
EURASIP J. Adv. Signal Process.
Ngoc Minh Nguyen, Sylvain Le Corff, Eric Moulines
2016 J jnl
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection.
IEEE J. Sel. Top. Signal Process.
Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines
2014 J jnl
Simultaneous localization and mapping in wireless sensor networks.
Signal Process.
Thierry Dumont, Sylvain Le Corff
2013 J jnl
Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm.
ACM Trans. Model. Comput. Simul.
Sylvain Le Corff, Gersende Fort
2013 Misc conf
Online EM for indoor simultaneous localization and mapping.
ICASSP
Thierry Dumont, Sylvain Le Corff
2012 — conf
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem.
LVA/ICA
Sylvain Le Corff, Gersende Fort, Eric Moulines