Interpreting diffusion score matching using normalizing flowJan 1, 2021·Wenbo Gong,Y Li· 0 min read PDF Cite Source DocumentTypeConference paperPublicationICML 2021 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood ModelsLast updated on Jan 1, 2021Generative Model Approximate Inference Bayesian Inference AuthorsWenbo GongSenior ResearcherSenior Researcher at Microsoft Research Cambridge working on learning dynamics and optimization for foundation models, with prior work on causality and approximate inference. ← Active slices for sliced Stein discrepancy Jan 1, 2021Sliced kernelized Stein discrepancy Jan 1, 2021 →
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