Sylvain Le Corff

According to our database, Sylvain Le Corff authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifiability of discrete input-output hidden Markov models with external signals.

Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy

Stat. Comput., February, 2024

Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.

Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff

CoRR, 2024

2023

Monte Carlo guided Diffusion for Bayesian linear inverse problems.

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines

CoRR, 2023

State and parameter learning with PARIS particle Gibbs.

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Natural Language Generation with Truncated Reinforcement Learning.

Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Diffusion bridges vector quantized variational autoencoders.

Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Natural Language Generation from Scratch.

Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin

CoRR, 2021

End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort.

Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière

CoRR, 2021

Joint self-supervised blind denoising and noise estimation.

Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff

CoRR, 2021

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform.

Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X. Robert

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.

Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.

Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy

J. Mach. Learn. Res., 2020

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction.

Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin

CoRR, 2020

End-to-end deep metamodeling to calibrate and optimize energy loads.

Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière

CoRR, 2020

2018

Online sequential Monte Carlo smoother for partially observed diffusion processes.

Pierre Gloaguen, Marie-Pierre Étienne, Sylvain Le Corff

EURASIP J. Adv. Signal Process., 2018

Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work.

Sylvain Le Corff, Alain Champagne, Maurice Charbit, Gilles Nozière, Eric Moulines

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models.

Yohann de Castro, Elisabeth Gassiat, Sylvain Le Corff

IEEE Trans. Inf. Theory, 2017

Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability.

Alain Durmus, Sylvain Le Corff, Eric Moulines, Gareth O. Roberts

J. Appl. Probab., 2017

Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models.

Ngoc Minh Nguyen, Sylvain Le Corff, Eric Moulines

EURASIP J. Adv. Signal Process., 2017

2016

A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection.

Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines

IEEE J. Sel. Top. Signal Process., 2016

2014

Simultaneous localization and mapping in wireless sensor networks.

Thierry Dumont, Sylvain Le Corff

Signal Process., 2014

2013

Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm.

Sylvain Le Corff, Gersende Fort

ACM Trans. Model. Comput. Simul., 2013

Online EM for indoor simultaneous localization and mapping.

Thierry Dumont, Sylvain Le Corff

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem.

Sylvain Le Corff, Gersende Fort, Eric Moulines

Proceedings of the Latent Variable Analysis and Signal Separation, 2012