Edward J. Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
2
Active years
2021–2024
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Amortizing intractable inference in large language models. | Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin |
| 2023 | ICLR | GFlowNets and variational inference. | Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio |
| 2023 | ICML | GFlowNet-EM for Learning Compositional Latent Variable Models. | Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio |
| 2023 | ICML | Differentiable Tree Operations Promote Compositional Generalization. | Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao |
| 2022 | ICLR | LoRA: Low-Rank Adaptation of Large Language Models. | Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen |
| 2022 | ICLR | Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. | Greg Yang, Michael Santacroce, Edward J. Hu |
| 2021 | ICML | Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks. | Greg Yang, Edward J. Hu |