Chin-Wei Huang
Université de Montréal
H-index: 16
North America-Canada
Top articles of Chin-Wei Huang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Two for one: Diffusion models and force fields for coarse-grained molecular dynamics | Journal of Chemical Theory and Computation | Marloes Arts Victor Garcia Satorras Chin-Wei Huang Daniel Zügner Marco Federici | 2023/9/9 |
Mattergen: a generative model for inorganic materials design | arXiv preprint arXiv:2312.03687 | Claudio Zeni Robert Pinsler Daniel Zügner Andrew Fowler Matthew Horton | 2023/12/6 |
Riemannian diffusion models | Advances in Neural Information Processing Systems | Chin-Wei Huang Milad Aghajohari Joey Bose Prakash Panangaden Aaron C Courville | 2022/12/6 |
Learning to Dequantise with Truncated Flows | Shawn Tan Chin-Wei Huang Alessandro Sordoni Aaron Courville | 2021/10/6 | |
Bijective-Contrastive Estimation | Jae Hyun Lim Chin-Wei Huang Aaron Courville Christopher Pal | 2020/11/23 | |
Convex potential flows: Universal probability distributions with optimal transport and convex optimization | International Conference on Learning Representations (ICLR 2021) | Chin-Wei Huang Ricky TQ Chen Christos Tsirigotis Aaron Courville | 2021 |
A variational perspective on diffusion-based generative models and score matching | Advances in Neural Information Processing Systems | Chin-Wei Huang Jae Hyun Lim Aaron C Courville | 2021/12/6 |
Problems in the deployment of machine-learned models in health care | Cmaj | Joseph Paul Cohen Tianshi Cao Joseph D Viviano Chin-Wei Huang Michael Fralick | 2021/9/7 |
Stochastic neural network with Kronecker flow | Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste | 2020/6/3 | |
Solving ODE with universal flows: Approximation theory for flow-based models | Chin-Wei Huang Laurent Dinh Aaron Courville | 2020/2/26 | |
Augmented normalizing flows: Bridging the gap between generative flows and latent variable models | arXiv preprint arXiv:2002.07101 | Chin-Wei Huang Laurent Dinh Aaron Courville | 2020/2/17 |
Realcause: Realistic causal inference benchmarking | arXiv preprint arXiv:2011.15007 | Brady Neal Chin-Wei Huang Sunand Raghupathi | 2020/11/30 |
Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection | Tianshi Cao David Yu-Tung Hui Chinwei Huang Joseph Paul Cohen | 2020/1/25 | |
AR-DAE: towards unbiased neural entropy gradient estimation | Jae Hyun Lim Aaron Courville Christopher Pal Chin-Wei Huang | 2020/11/21 | |
A benchmark of medical out of distribution detection | arXiv preprint arXiv:2007.04250 | Tianshi Cao Chin-Wei Huang David Yu-Tung Hui Joseph Paul Cohen | 2020/7/8 |
Co-Authors
