Browsing University of Waterloo by Subject "neural ordinary differential equations"
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Generative Modeling with Neural Ordinary Differential Equations
(University of Waterloo, 2019-12-19)Neural ordinary differential equations (NODEs) (Chen et al., 2018) are ordinary differential equations (ODEs) with their dynamics modeled by neural networks. Continuous normalizing flows (CNFs) (Chen et al., 2018; Grathwohl ...