Will Sussman Grathwohl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
2
Active years
2021–2024
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. | Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer |
| 2023 | ICLR | Denoising Diffusion Samplers. | Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet |
| 2023 | ICML | Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. | Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl |
| 2021 | ICLR | No MCMC for me: Amortized sampling for fast and stable training of energy-based models. | Will Sussman Grathwohl, Jacob Jin Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud |