Molecular ML Reading Group 91323 Introduction to Diffusion Models











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The Molecular ML Reading Group aims to explore foundational and recent applications of machine learning models to modeling molecular system. • In this first meeting we cover foundation of Diffusion Models covering • Sohl-Dickstein et al. (2015) (https://arxiv.org/abs/1503.03585) • Yang Ermon (2019) (https://arxiv.org/abs/1907.05600) • Ho et al. (2020) (https://arxiv.org/abs/2006.11239) • Song et al. (2021) (https://arxiv.org/abs/2011.13456) • See Molecular ML Reading Group website for the schedule and up-to-date information: maomlab.github.io/molecular_ml_reading_group • The reading group is hosted by Rosetta Commons (https://www.rosettacommons.org/) and organized by Nick Randolph a PhD candidate in the Kuhlman Lab at UNC Chapel Hill ([email protected]) and Matthew O'Meara an Assistant Professor at the University of Michigan ([email protected]).

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