Chehab, Omar

6 publications

ICML 2025 Density Ratio Estimation with Conditional Probability Paths Hanlin Yu, Arto Klami, Aapo Hyvarinen, Anna Korba, Omar Chehab

ICLR 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab, Anna Korba, Austin J Stromme, Adrien Vacher

NeurIPS 2025 Sampling from Multi-Modal Distributions with Polynomial Query Complexity in Fixed Dimension via Reverse Diffusion Adrien Vacher, Omar Chehab, Anna Korba

ICMLW 2024 A Practical Diffusion Path for Sampling Omar Chehab, Anna Korba

NeurIPS 2023 Provable Benefits of Annealing for Estimating Normalizing Constants: Importance Sampling, Noise-Contrastive Estimation, and Beyond Omar Chehab, Aapo Hyvarinen, Andrej Risteski

UAI 2022 The Optimal Noise in Noise-Contrastive Learning Is Not What You Think Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen