Noble, Maxence

7 publications

ICLRW 2025 Improving the Evaluation of Samplers on Multi-Modal Targets Louis Grenioux, Maxence Noble, Marylou Gabrié

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

ICML 2024 Stochastic Localization via Iterative Posterior Sampling Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus

COLT 2023 Non-Asymptotic Convergence Bounds for Sinkhorn Iterates and Their Gradients: A Coupling Approach. Giacomo Greco, Maxence Noble, Giovanni Conforti, Alain Durmus

NeurIPS 2023 Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus

NeurIPS 2023 Unbiased Constrained Sampling with Self-Concordant Barrier Hamiltonian Monte Carlo Maxence Noble, Valentin De Bortoli, Alain Durmus

AISTATS 2022 Differentially Private Federated Learning on Heterogeneous Data Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut