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Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments., , , and . SIAM J. Imaging Sci., 13 (4): 1945-1989 (2020)Convergence rates and approximation results for SGD and its continuous-time counterpart., , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1965-2058. PMLR, (2021)SE(3) diffusion model with application to protein backbone generation., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40001-40039. PMLR, (2023)Trans-Dimensional Generative Modeling via Jump Diffusion Models., , , , , and . CoRR, (2023)Riemannian Diffusion Schrödinger Bridge., , , , , and . CoRR, (2022)Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models., , , , and . CoRR, (2023)Maximum entropy methods for texture synthesis: theory and practice., , , , and . CoRR, (2019)Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis., , , and . SIAM J. Imaging Sci., 13 (4): 1990-2028 (2020)Statistiques non locales dans les images: modélisation, estimation et échantillonnage. (Non-local statistics in images: modelisation, estimation and sampling).. University of Paris-Saclay, France, (2020)Approximate Bayesian Computation with the Sliced-Wasserstein Distance., , , , and . ICASSP, page 5470-5474. IEEE, (2020)