Maxence Noble - RankMe

15 papers A* 5A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes. CoRR Louis Grenioux, Maxence Noble
2026	J	`jnl`	Fast, faithful and photorealistic diffusion-based image super-resolution with enhanced Flow Map models. CoRR Maxence Noble, Gonzalo Iñaki Quintana, Benjamin Aubin, Clément Chadebec
2026	J	`jnl`	Sampling from multi-modal distributions on Riemannian manifolds with training-free stochastic interpolants. CoRR Alain Durmus, Maxence Noble, Thibaut Pellerin
2025	J	`jnl`	Improving the evaluation of samplers on multi-modal targets. CoRR Louis Grenioux, Maxence Noble, Marylou Gabrié
2025	A*	`conf`	Learned Reference-based Diffusion Sampler for multi-modal distributions. ICLR Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
2024	J	`jnl`	Learned Reference-based Diffusion Sampling for multi-modal distributions. CoRR Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
2024	A*	`conf`	Stochastic Localization via Iterative Posterior Sampling. ICML Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus
2024	J	`jnl`	Stochastic Localization via Iterative Posterior Sampling. CoRR Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus
2023	A*	`conf`	Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT Giacomo Greco, Maxence Noble, Giovanni Conforti, Alain Durmus
2023	A*	`conf`	Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. NeurIPS Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
2023	J	`jnl`	Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. CoRR Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
2023	A*	`conf`	Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo. NeurIPS Maxence Noble, Valentin De Bortoli, Alain Durmus
2022	J	`jnl`	Barrier Hamiltonian Monte Carlo. CoRR Maxence Noble, Valentin De Bortoli, Alain Durmus
2022	A	`conf`	Differentially Private Federated Learning on Heterogeneous Data. AISTATS Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut
2021	J	`jnl`	Differentially Private Federated Learning on Heterogeneous Data. CoRR Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut