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.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ICML | Oops I Took A Gradient: Scalable Sampling for Discrete Distributions. | Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison |
| 2020 | ICLR | Understanding the Limitations of Conditional Generative Models. | Ethan Fetaya, Jrn-Henrik Jacobsen, Will Grathwohl, Richard S. Zemel |
| 2020 | ICLR | Your 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 |
| 2020 | ICML | Learning 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 |
| 2019 | ICLR | FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models. | Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud |
| 2019 | ICML | Invertible Residual Networks. | Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Jrn-Henrik Jacobsen |
| 2018 | ICLR | Gradient-based Optimization of Neural Network Architecture. | Will Grathwohl, Elliot Creager, Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel |
| 2018 | ICLR | Backpropagation through the Void: Optimizing control variates for black-box gradient estimation. | Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud |