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Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization

Dec 10, 2020
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron Courville

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RealCause: Realistic Causal Inference Benchmarking

Nov 30, 2020
Brady Neal, Chin-Wei Huang, Sunand Raghupathi

* Working paper 

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AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation

Jun 09, 2020
Jae Hyun Lim, Aaron Courville, Christopher Pal, Chin-Wei Huang

* accepted in ICML 2020 

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Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models

Feb 17, 2020
Chin-Wei Huang, Laurent Dinh, Aaron Courville

* 27 pages, 12 figures 

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vGraph: A Generative Model for Joint Community Detection and Node Representation Learning

Jun 18, 2019
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang

* In submission 

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Stochastic Neural Network with Kronecker Flow

Jun 10, 2019
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron Courville

* 18 pages 

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Note on the bias and variance of variational inference

Jun 09, 2019
Chin-Wei Huang, Aaron Courville

* 5 pages 

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Hierarchical Importance Weighted Autoencoders

May 13, 2019
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron Courville

* Accepted by ICML 2019. 17 pages 

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Improving Explorability in Variational Inference with Annealed Variational Objectives

Oct 26, 2018
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron Courville

* To appear in NIPS 2018 

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Bayesian Hypernetworks

Apr 24, 2018
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron Courville

* David Krueger and Chin-Wei Huang contributed equally 

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Neural Autoregressive Flows

Apr 03, 2018
Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron Courville

* 16 pages, 10 figures, 3 tables 

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Generating Contradictory, Neutral, and Entailing Sentences

Mar 07, 2018
Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron Courville

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Neural Language Modeling by Jointly Learning Syntax and Lexicon

Feb 19, 2018
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron Courville

* 16 pages, 5 figures, ICLR 2018 

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Learnable Explicit Density for Continuous Latent Space and Variational Inference

Oct 06, 2017
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville

* 2 figures, 5 pages, submitted to ICML Principled Approaches to Deep Learning workshop 

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