Chin-Wei Huang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 37

Top Topics

Variational Inference

Language Modeling

Diffusion Model

Top Venues

Publications

Chin-Wei Huang, Yi-Fei Chuang
Taiwan's Experience with Emergency Distribution of Masks dring COVID-19 Pandemic. IIAI-AAI (2023)
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR (2023)
Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville
Riemannian Diffusion Models. CoRR (2022)
Jenq-Haur Wang, Chin-Wei Huang, Mehdi Norouzi
Improving Rumor Detection by Image Captioning and Multi-Cell Bi-RNN With Self-Attention in Social Networks. Int. J. Data Warehous. Min. 18 (1) (2022)
Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
Learning to Dequantise with Truncated Flows. ICLR (2022)
Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron C. Courville
Riemannian Diffusion Models. NeurIPS (2022)
Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
A Variational Perspective on Diffusion-Based Generative Models and Score Matching. NeurIPS (2021)
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. ICLR (2021)
Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
A Variational Perspective on Diffusion-Based Generative Models and Score Matching. CoRR (2021)
Chin-Wei Huang
Using a hybrid two-stage DEA model to analyze the profitability and marketability of medical manufacturing firms. Int. Trans. Oper. Res. 28 (1) (2021)
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
Stochastic Neural Network with Kronecker Flow. AISTATS (2020)
Brady Neal, Chin-Wei Huang, Sunand Raghupathi
RealCause: Realistic Causal Inference Benchmarking. CoRR (2020)
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. CoRR (2020)
Chin-Wei Huang, Laurent Dinh, Aaron C. Courville
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models. CoRR (2020)
Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR (2020)
Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML (2020)
Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville
Investigating Biases in Textual Entailment Datasets. CoRR (2019)
Chin-Wei Huang, Aaron C. Courville
Note on the bias and variance of variational inference. CoRR (2019)
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
Hierarchical Importance Weighted Autoencoders. ICML (2019)
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville
Probability Distillation: A Caveat and Alternatives. UAI (2019)
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS (2019)
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
Stochastic Neural Network with Kronecker Flow. CoRR (2019)
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR (2019)
Shih-Yu Chen, Gwo Giun Chris Lee, Tai-Ping Wang, Chin-Wei Huang, Jia-Hong Chen, Chang-Ling Tsai
Reconfigurable Edge via Analytics Architecture. AICAS (2019)
Gwo Giun Chris Lee, Chin-Wei Huang, Jia-Hong Chen, Shih-Yu Chen, Hsiu-Ling Chen
AIFood: A Large Scale Food Images Dataset for Ingredient Recognition. TENCON (2019)
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
Hierarchical Importance Weighted Autoencoders. CoRR (2019)
Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville
Neural Autoregressive Flows. CoRR (2018)
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) (2018)
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
Improving Explorability in Variational Inference with Annealed Variational Objectives. NeurIPS (2018)
Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville
Generating Contradictory, Neutral, and Entailing Sentences. CoRR (2018)
Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville
Neural Autoregressive Flows. ICML (2018)
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
Improving Explorability in Variational Inference with Annealed Variational Objectives. CoRR (2018)
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR (2017)
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR (2017)
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville
Bayesian Hypernetworks. CoRR (2017)
Chin-Wei Huang, Luc Baron, Marek Balazinski, Sofiane Achiche
Comprehensive model optimization in pulp quality prediction: a machine learning approach. PeerJ Prepr. 5 (2017)
Chin-Wei Huang, Yung-Ho Chiu, Chien-heng Tu, Zheng-ying Luo, Zebin Wang
Using the nonhomogeneous frontier two-stage DEA model to assess the efficiencies of expense utilization and operation of the Taiwanese hotel industry. Int. Trans. Oper. Res. 23 (6) (2016)
Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting
A non-radial measure of different systems for Taiwanese tourist hotels' efficiency assessment. Central Eur. J. Oper. Res. 20 (1) (2012)
Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting
Measuring the Repair Performance for stricken Cultivated Land and Agricultural Efficiency in China with a Modified Two-Stage DEA Model. Asia Pac. J. Oper. Res. 28 (5) (2011)
Yung-Ho Chiu, Chin-Wei Huang, Chun-Mei Ma
Assessment of China transit and economic efficiencies in a modified value-chains DEA model. Eur. J. Oper. Res. 209 (2) (2011)
Jian-Da Wu, Mingsian R. Bai, Fu-Cheng Su, Chin-Wei Huang
An expert system for the diagnosis of faults in rotating machinery using adaptive order-tracking algorithm. Expert Syst. Appl. 36 (3) (2009)