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Chin-Wei Huang
Chin-Wei Huang
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Neural autoregressive flows
CW Huang, D Krueger, A Lacoste, A Courville
International Conference on Machine Learning, 2078-2087, 2018
5002018
Neural language modeling by jointly learning syntax and lexicon
Y Shen, Z Lin, CW Huang, A Courville
arXiv preprint arXiv:1711.02013, 2017
1892017
Bayesian hypernetworks
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville
arXiv preprint arXiv:1710.04759, 2017
1622017
A variational perspective on diffusion-based generative models and score matching
CW Huang, JH Lim, AC Courville
Advances in Neural Information Processing Systems 34, 22863-22876, 2021
1582021
vgraph: A generative model for joint community detection and node representation learning
FY Sun, M Qu, J Hoffmann, CW Huang, J Tang
Advances in Neural Information Processing Systems 32, 2019
972019
Augmented normalizing flows: Bridging the gap between generative flows and latent variable models
CW Huang, L Dinh, A Courville
arXiv preprint arXiv:2002.07101, 2020
792020
Convex potential flows: Universal probability distributions with optimal transport and convex optimization
CW Huang, RTQ Chen, C Tsirigotis, A Courville
International Conference on Learning Representations, ICLR 2021, 2021
722021
A benchmark of medical out of distribution detection
T Cao, CW Huang, DYT Hui, JP Cohen
arXiv preprint arXiv:2007.04250, 2020
682020
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, AC Courville
Advances in neural information processing systems 31, 2018
632018
Riemannian diffusion models
CW Huang, M Aghajohari, J Bose, P Panangaden, AC Courville
Advances in Neural Information Processing Systems 35, 2750-2761, 2022
482022
Problems in the deployment of machine-learned models in health care
JP Cohen, T Cao, JD Viviano, CW Huang, M Fralick, M Ghassemi, ...
Cmaj 193 (35), E1391-E1394, 2021
482021
Two for one: Diffusion models and force fields for coarse-grained molecular dynamics
M Arts, V Garcia Satorras, CW Huang, D Zügner, M Federici, C Clementi, ...
Journal of Chemical Theory and Computation 19 (18), 6151-6159, 2023
442023
Realcause: Realistic causal inference benchmarking
B Neal, CW Huang, S Raghupathi
arXiv preprint arXiv:2011.15007, 2020
312020
Learnable Explicit Density for Continuous Latent Space and Variational Inference
CW Huang, A Touati, L Dinh, M Drozdzal, M Havaei, L Charlin, ...
https://arxiv.org/abs/1710.02248, 2017
302017
Mattergen: a generative model for inorganic materials design
C Zeni, R Pinsler, D Zügner, A Fowler, M Horton, X Fu, S Shysheya, ...
arXiv preprint arXiv:2312.03687, 2023
282023
AR-DAE: towards unbiased neural entropy gradient estimation
JH Lim, A Courville, C Pal, CW Huang
International Conference on Machine Learning, 6061-6071, 2020
212020
Hierarchical importance weighted autoencoders
CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville
International Conference on Machine Learning, 2869-2878, 2019
212019
Probability distillation: A caveat and alternatives
CW Huang, F Ahmed, K Kumar, A Lacoste, A Courville
92018
Stochastic neural network with Kronecker flow
CW Huang, A Touati, P Vincent, GK Dziugaite, A Lacoste, A Courville
International Conference on Artificial Intelligence and Statistics, 4184-4194, 2020
82020
Solving ODE with universal flows: Approximation theory for flow-based models
CW Huang, L Dinh, A Courville
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
82020
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