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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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