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Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations


Feb 12, 2021
Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud


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Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization


Dec 10, 2020
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron Courville


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Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering


Nov 09, 2020
Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig


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Neural Spatio-Temporal Point Processes


Nov 09, 2020
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel


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Learning Neural Event Functions for Ordinary Differential Equations


Nov 08, 2020
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel


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"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code


Sep 20, 2020
Patrick Kidger, Ricky T. Q. Chen, Terry Lyons


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SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models


Apr 01, 2020
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen

* ICLR 2020 

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Scalable Gradients for Stochastic Differential Equations


Feb 24, 2020
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud

* AISTATS 2020; 25 pages, 6 figures in main text; fixed various typos 

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Neural Networks with Cheap Differential Operators


Dec 08, 2019
Ricky T. Q. Chen, David Duvenaud

* NeurIPS 2019 

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Latent ODEs for Irregularly-Sampled Time Series


Jul 08, 2019
Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud


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Residual Flows for Invertible Generative Modeling


Jun 07, 2019
Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen

* fix typo in abstract 

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Isolating Sources of Disentanglement in Variational Autoencoders


Oct 22, 2018
Ricky T. Q. Chen, Xuechen Li, Roger Grosse, David Duvenaud

* Added more experiments and improved clarity 

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Neural Ordinary Differential Equations


Oct 22, 2018
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud


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FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models


Oct 22, 2018
Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud

* 8 Pages, 6 figures 

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