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Sylvain Le Corff
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2020 – today
- 2024
- [j13]Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff:
Additive smoothing error in backward variational inference for general state-space models. J. Mach. Learn. Res. 25: 28:1-28:33 (2024) - [j12]Etienne David, Jean Bellot, Sylvain Le Corff
, Luc Lehéricy:
Identifiability of discrete input-output hidden Markov models with external signals. Stat. Comput. 34(1): 54 (2024) - [j11]Elisabeth Gassiat, Sylvain Le Corff:
Variational excess risk bound for general state space models. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines:
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ICLR 2024 - [i10]Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff:
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation. CoRR abs/2402.02857 (2024) - [i9]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 abs/2404.07593 (2024) - [i8]Etienne David, Jean Bellot, Sylvain Le Corff:
Variational quantization for state space models. CoRR abs/2404.11117 (2024) - 2023
- [j10]Alice Martin, Marie-Pierre Étienne
Backward Importance Sampling for Online Estimation of State Space Models. J. Comput. Graph. Stat. 32(4): 1447-1460 (2023) - [j9]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) - [c8]Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff
State and parameter learning with PARIS particle Gibbs. ICML 2023: 3625-3675 - [i7]Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines:
Monte Carlo guided Diffusion for Bayesian linear inverse problems. CoRR abs/2308.07983 (2023) - 2022
- [c7]Max Cohen, Guillaume Quispe, Sylvain Le Corff
Diffusion bridges vector quantized variational autoencoders. ICML 2022: 4141-4156 - [c6]Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff
Learning Natural Language Generation with Truncated Reinforcement Learning. NAACL-HLT 2022: 12-37 - 2021
- [c5]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: 1624-1633 - [c4]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: 17060-17071 - [i6]Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff:
Joint self-supervised blind denoising and noise estimation. CoRR abs/2102.08023 (2021) - [i5]Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort. CoRR abs/2105.02814 (2021) - [i4]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 abs/2106.09620 (2021) - [i3]Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin:
Learning Natural Language Generation from Scratch. CoRR abs/2109.09371 (2021) - 2020
- [j8]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: 115:1-115:40 (2020) - [i2]Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière:
End-to-end deep metamodeling to calibrate and optimize energy loads. CoRR abs/2006.12390 (2020) - [i1]Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin:
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. CoRR abs/2007.08620 (2020)
2010 – 2019
- 2018
- [j7]Pierre Gloaguen, Marie-Pierre Étienne
Online sequential Monte Carlo smoother for partially observed diffusion processes. EURASIP J. Adv. Signal Process. 2018: 9 (2018) - [c3]Sylvain Le Corff
Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work. DSW 2018: 41-45 - 2017
- [j6]Ngoc Minh Nguyen, Sylvain Le Corff
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models. EURASIP J. Adv. Signal Process. 2017: 54 (2017) - [j5]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): 1233-1260 (2017) - [j4]Yohann de Castro
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models. IEEE Trans. Inf. Theory 63(8): 4758-4777 (2017) - 2016
- [j3]Amandine Schreck, Gersende Fort, Sylvain Le Corff
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection. IEEE J. Sel. Top. Signal Process. 10(2): 366-375 (2016) - 2014
- [j2]Thierry Dumont
Simultaneous localization and mapping in wireless sensor networks. Signal Process. 101: 192-203 (2014) - 2013
- [j1]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): 2:1-2:22 (2013) - [c2]Thierry Dumont, Sylvain Le Corff
Online EM for indoor simultaneous localization and mapping. ICASSP 2013: 6431-6435 - 2012
- [c1]Sylvain Le Corff, Gersende Fort, Eric Moulines:
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. LVA/ICA 2012: 131-138
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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