Sylvain Le Corff
10 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π£ Hot Topic Early Bird
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Conference Polyglot
(6)
π
Academic Marathon
(5)
π£
Hot Topic Early Bird
π
Trend Setter
π₯
Unstoppable
(6)
π
Century Club
(10)
Conferences
NIPS (3)
ICML (2)
JMLR (2)
AISTATS (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
variational inference
(3)
variational autoencoder
(2)
hidden markov model
(2)
non-convex optimization
(1)
bayesian inference
(1)
policy learning
(1)
markov chain monte carlo
(1)
importance sampling
(1)
vector quantization
(1)
state estimation
(1)
nonparametric estimation
(1)
smoothing distribution
(1)
consistent estimation
(1)
state space model
(1)
diffusion model
(1)
state-space model
(1)
adaptive optimization
(1)
deep generative model
(1)
language generation
(1)
bias reduction
(1)
Papers
Theoretical Convergence Guarantees for Variational Autoencoders
AISTATS 2025
Additive smoothing error in backward variational inference for general state-space models
JMLR 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
NIPS 2024
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
ICLR 2024
State and parameter learning with PARIS particle Gibbs
ICML 2023
Learning Natural Language Generation with Truncated Reinforcement Learning
NAACL 2022
Diffusion bridges vector quantized variational autoencoders
ICML 2022
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
NIPS 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NIPS 2021
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space
JMLR 2020