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全站排名 #194

发表论文25 篇

平均评分6.3

年均产出8.3 篇/年

Alain Oliviero Durmus

Full Professor@École Polytechnique·OpenReview

研究方向

Variational inference · Stochastic Approximation · Stochastic Optimization · Markov Chain Monte Carlo · Monte Carlo methods · Stochastic Processes

Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance

ICLR 2026Poster

Online Decision-Focused Learning

ICLR 2026Poster

Detecting Benchmark Contamination Through Watermarking

ICLR 2026Rejected

Conditional Diffusion Models with Classifier-Free Iterative Guidance

ICLR 2026Rejected

Variational Diffusion Posterior Sampling with Midpoint Guidance

Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models

NeurIPS 2025Poster

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

NeurIPS 2025Spotlight

A Mixture-Based Framework for Guiding Diffusion Models

ICML 2025Poster

Exponential Convergence Guarantees for Iterative Markovian Fitting

NeurIPS 2025Poster

Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up

ICML 2025Poster

Learned Reference-based Diffusion Sampler for multi-modal distributions

ICLR 2025Poster

Watermark Anything With Localized Messages

ICLR 2025Poster

Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms

ICML 2025Poster

Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions

ICML 2025Poster

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation

ICLR 2025Poster

Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models

ICLR 2025Poster

Prediction-Aware Learning in Multi-Agent Systems

ICML 2025Poster

合作者 (20)

博士导师12 篇

Dario Shariatian

Aymeric Capitaine

Etienne Boursier