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Will Grathwohl

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

2

Active years

2018–2021

Best venue rank

A*

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2021ICMLOops I Took A Gradient: Scalable Sampling for Discrete Distributions.Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison
2020ICLRUnderstanding the Limitations of Conditional Generative Models.Ethan Fetaya, Jrn-Henrik Jacobsen, Will Grathwohl, Richard S. Zemel
2020ICLRYour classifier is secretly an energy based model and you should treat it like one.Will Grathwohl, Kuan-Chieh Wang, Jrn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky
2020ICMLLearning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling.Will Grathwohl, Kuan-Chieh Wang, Jrn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel
2019ICLRFFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models.Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud
2019ICMLInvertible Residual Networks.Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Jrn-Henrik Jacobsen
2018ICLRGradient-based Optimization of Neural Network Architecture.Will Grathwohl, Elliot Creager, Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel
2018ICLRBackpropagation through the Void: Optimizing control variates for black-box gradient estimation.Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud