Sylvain Le Corff
10 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Deep Learning
(4)
Models
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Domain-Specific
(1)
Generation
(1)
Keywords
variational inference
(4)
variational autoencoder
(3)
diffusion model
(2)
stochastic gradient descent
(2)
hidden markov model
(2)
bayesian inference
(2)
state space model
(2)
smoothing distribution
(1)
state estimation
(1)
policy learning
(1)
sequential monte carlo
(1)
nonparametric estimation
(1)
adaptive optimization
(1)
consistent estimation
(1)
vector quantization
(1)
convergence guarantee
(1)
importance sampling
(1)
markov chain monte carlo
(1)
non-convex optimization
(1)
reinforcement learning
(1)
Papers
Theoretical Convergence Guarantees for Variational Autoencoders
AISTATS 2025
Additive smoothing error in backward variational inference for general state-space models
JMLR 2024
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
ICLR 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
NeurIPS 2024
State and parameter learning with PARIS particle Gibbs
ICML 2023
Diffusion bridges vector quantized variational autoencoders
ICML 2022
Learning Natural Language Generation with Truncated Reinforcement Learning
NAACL 2022
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NeurIPS 2021
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
NeurIPS 2021
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space
JMLR 2020