Sylvain Le Corff

Centre National de la Recherche Scientifique — France

Computer Science · Physical Sciences

10h-index337citations95works0.22yr avg
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Research Topics

Bayesian Methods and Mixture Models(34), Target Tracking and Data Fusion in Sensor Networks(24), Statistical Methods and Inference(21), Markov Chains and Monte Carlo Methods(14), Gaussian Processes and Bayesian Inference(10)

Publications95 total

TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
BMC Bioinformatics·2025Open Access
Wasserstein Convergence of Critically Damped Langevin Diffusions
ArXiv.org·2025Open Access
TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
ArXiv.org·2025Open Access
Tree-based variational inference for Poisson log-normal models
Statistics and Computing·2025· 1 citedOpen Access
Latent Guided Sampling for Combinatorial Optimization
ArXiv.org·2025Open Access
Erratum: Deconvolution with unknown noise distribution is possible for multivariate signals
SPIRE - Sciences Po Institutional REpository·2025Open Access
Theoretical Convergence Guarantees for Variational Autoencoders
arXiv (Cornell University)·2024Open Access
Tree-based variational inference for Poisson log-normal models
arXiv (Cornell University)·2024Open Access
Variational quantization for state space models
arXiv (Cornell University)·2024Open Access
Diffusion posterior sampling for simulation-based inference in tall data settings
arXiv (Cornell University)·2024Open Access
An analysis of the noise schedule for score-based generative models
arXiv (Cornell University)·2024Open Access
Importance sampling for online variational learning
arXiv (Cornell University)·2024Open Access
Variance estimation for sequential Monte Carlo algorithms: A backward sampling approach
Bernoulli·2024· 1 citedOpen Access
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
2024· 1 citedOpen Access
Identifiability of discrete input–output hidden Markov models with external signals
Statistics and Computing·2023
Variational excess risk bound for general state space models
arXiv (Cornell University)·2023Open Access
Monte Carlo guided Diffusion for Bayesian linear inverse problems
arXiv (Cornell University)·2023· 1 citedOpen Access
Last layer state space model for representation learning and uncertainty quantification
arXiv (Cornell University)·2023· 1 citedOpen Access
Variational latent discrete representation for time series modelling
arXiv (Cornell University)·2023Open Access
Asymptotic convergence of iterative optimization algorithms
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Éric Moulines(11), Gersende Fort(9), Charles Ollion(7), Élisabeth Gassiat(6), Thierry Dumont(5), Luc Lehéricy(5), Cyrille Dubarry(4), Pierre Gloaguen(4), Alice Martin(4), Alain Durmus(4), Maurice Charbit(3), Gilles Nozière(3), Matthieu Lerasle(3), Florian Strub(3), Olivier Pietquin(3), Amandine Schreck(2), Yohann de Castro(2), Hermanni Hälvä(2), Jonathan So(2), Yongjie Zhu(2)