Durmus, Alain Oliviero

11 publications

NeurIPS 2025 Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Oliviero Durmus, Umut Simsekli

ICLRW 2025 Detecting Benchmark Contamination Through Watermarking Tom Sander, Pierre Fernandez, Saeed Mahloujifar, Alain Oliviero Durmus, Chuan Guo

NeurIPS 2025 Exponential Convergence Guarantees for Iterative Markovian Fitting Marta Gentiloni Silveri, Giovanni Conforti, Alain Oliviero Durmus

ICLR 2025 Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus

ICLR 2025 Learned Reference-Based Diffusion Sampler for Multi-Modal Distributions Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus

NeurIPS 2025 Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation Lucas Morisset, Adrien Hardy, Alain Oliviero Durmus

ICLR 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov

AISTATS 2025 Personalized Convolutional Dictionary Learning of Physiological Time Series Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre

AISTATS 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines

ICLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson

ICLR 2025 Watermark Anything with Localized Messages Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze