Sylvain Le Corff

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 27

Top Topics

Asymptotic Analysis

Top Venues

EURASIP J. Adv. Signal Process.

Trans. Mach. Learn. Res.

Publications

Etienne David, Jean Bellot, Sylvain Le Corff
Variational quantization for state space models. CoRR (2024)
Elisabeth Gassiat, Sylvain Le Corff
Variational excess risk bound for general state space models. Trans. Mach. Learn. Res. 2024 (2024)
Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation. CoRR (2024)
Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy
Identifiability of discrete input-output hidden Markov models with external signals. Stat. Comput. 34 (1) (2024)
Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues
Diffusion posterior sampling for simulation-based inference in tall data settings. CoRR (2024)
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ICLR (2024)
Etienne David, Jean Bellot, Sylvain Le Corff
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series. Trans. Mach. Learn. Res. 2023 (2023)
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
Monte Carlo guided Diffusion for Bayesian linear inverse problems. CoRR (2023)
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson
State and parameter learning with PARIS particle Gibbs. ICML (2023)
Alice Martin, Marie-Pierre Étienne, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
Backward Importance Sampling for Online Estimation of State Space Models. J. Comput. Graph. Stat. 32 (4) (2023)
Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
Diffusion bridges vector quantized variational autoencoders. ICML (2022)
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
Learning Natural Language Generation with Truncated Reinforcement Learning. NAACL-HLT (2022)
Alice Martin Donati, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
Learning Natural Language Generation from Scratch. CoRR (2021)
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. CoRR (2021)
Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff
Joint self-supervised blind denoising and noise estimation. CoRR (2021)
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. NeurIPS (2021)
Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort. CoRR (2021)
Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X. Robert
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform. NeurIPS (2021)
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space. J. Mach. Learn. Res. 21 (2020)
Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière
End-to-end deep metamodeling to calibrate and optimize energy loads. CoRR (2020)
Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. CoRR (2020)
Sylvain Le Corff, Alain Champagne, Maurice Charbit, Gilles Nozière, Eric Moulines
Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work. DSW (2018)
Pierre Gloaguen, Marie-Pierre Étienne, Sylvain Le Corff
Online sequential Monte Carlo smoother for partially observed diffusion processes. EURASIP J. Adv. Signal Process. 2018 (2018)
Yohann de Castro, Elisabeth Gassiat, Sylvain Le Corff
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models. IEEE Trans. Inf. Theory 63 (8) (2017)
Ngoc Minh Nguyen, Sylvain Le Corff, Eric Moulines
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models. EURASIP J. Adv. Signal Process. 2017 (2017)
Alain Durmus, Sylvain Le Corff, Eric Moulines, Gareth O. Roberts
Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability. J. Appl. Probab. 54 (4) (2017)
Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Thierry Dumont, Sylvain Le Corff
Simultaneous localization and mapping in wireless sensor networks. Signal Process. 101 (2014)
Sylvain Le Corff, Gersende Fort
Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Thierry Dumont, Sylvain Le Corff
Online EM for indoor simultaneous localization and mapping. ICASSP (2013)
Sylvain Le Corff, Gersende Fort, Eric Moulines
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. LVA/ICA (2012)