Chin-Wei Huang
Chin-Wei Huang
PhD Student at Mila (University of Montreal)
Verified email at umontreal.ca - 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
2132018
Neural language modeling by jointly learning syntax and lexicon
Y Shen, Z Lin, CW Huang, A Courville
arXiv preprint arXiv:1711.02013, 2017
1052017
Bayesian hypernetworks
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville
arXiv preprint arXiv:1710.04759, 2017
822017
vgraph: A generative model for joint community detection and node representation learning
FY Sun, M Qu, J Hoffmann, CW Huang, J Tang
arXiv preprint arXiv:1906.07159, 2019
262019
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, A Courville
arXiv preprint arXiv:1809.01818, 2018
242018
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
222020
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
202017
Hierarchical importance weighted autoencoders
CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville
International Conference on Machine Learning, 2869-2878, 2019
122019
A benchmark of medical out of distribution detection
T Cao, CW Huang, DYT Hui, JP Cohen
arXiv preprint arXiv:2007.04250, 2020
72020
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
62020
Neural autoregressive flows. volume 80 of Proceedings of Machine Learning Research
CW Huang, D Krueger, A Lacoste, A Courville
Stockholmsmässan, Stockholm Sweden. PMLR, 2078-2087, 2018
62018
Convex potential flows: Universal probability distributions with optimal transport and convex optimization
CW Huang, RTQ Chen, C Tsirigotis, A Courville
arXiv preprint arXiv:2012.05942, 2020
52020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
JH Lim, A Courville, C Pal, CW Huang
International Conference on Machine Learning, 6061-6071, 2020
32020
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
32020
Note on the bias and variance of variational inference
CW Huang, A Courville
arXiv preprint arXiv:1906.03708, 2019
32019
Investigating biases in textual entailment datasets
S Tan, Y Shen, C Huang, A Courville
arXiv preprint arXiv:1906.09635, 2019
22019
Probability distillation: A caveat and alternatives
CW Huang, F Ahmed, K Kumar, A Lacoste, A Courville
22018
Generating contradictory, neutral, and entailing sentences
Y Shen, S Tan, CW Huang, A Courville
arXiv preprint arXiv:1803.02710, 2018
22018
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
CW Huang, JH Lim, A Courville
arXiv preprint arXiv:2106.02808, 2021
12021
RealCause: Realistic Causal Inference Benchmarking
B Neal, CW Huang, S Raghupathi
arXiv preprint arXiv:2011.15007, 2020
12020
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