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Chin-Wei Huang
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Chin-Wei Huang
Publications
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
.
Jae Hyun Lim
,
Aaron Courville
,
Christopher Pal
,
Chin-Wei Huang
. At
International Conference on Machine Learning (ICML), 2020.
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Stochastic Neural Network with Kronecker Flow
.
Chin-Wei Huang
,
Ahmed Touati
,
Pascal Vincent
,
Gintare Karolina Dziugaite
,
Alexandre Lacoste
,
Aaron Courville
. At
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
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Hierarchical Importance Weighted Autoencoders
.
Chin-Wei Huang
,
Kris Sankaran
,
Eeshan Dhekane
,
Alexandre Lacoste
,
Aaron Courville
. At
International Conference on Machine Learning (ICML), 2019.
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Code
Stochastic Neural Network with Kronecker Flow
.
Chin-Wei Huang
,
Ahmed Touati
,
Pascal Vincent
,
Gintare Karolina Dziugaite
,
Alexandre Lacoste
,
Aaron Courville
. At
Workshop at the International Conference on Machine Learning (ICML), 2019.
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On Difficulties of Probability Distillation
.
Chin-Wei Huang
,
Faruk Ahmed
,
Kundan Kumar
,
Alexandre Lacoste
,
Aaron Courville
. At
International Conference on Learning Representations (ICLR), 2019.
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Improving Explorability in Variational Inference with Annealed Variational Objectives
.
Chin-Wei Huang
,
Shawn Tan
,
Alexandre Lacoste
,
Aaron Courville
. At
Conference on Neural Information Processing Systems (NeurIPS), 2018.
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Code
Neural Autoregressive Flows
.
Chin-Wei Huang
,
David Krueger
,
Alexandre Lacoste
,
Aaron Courville
. At
International Conference on Machine Learning (ICML), 2018.
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Code
Bayesian Hypernetworks
.
David Krueger
,
Chin-Wei Huang
,
Riashat Islam
,
Ryan Turner
,
Alexandre Lacoste
,
Aaron Courville
. At
Workshop at the Neural Information Processing Systems (NeurIPS), 2017.
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