Chin-Wei Huang

According to our database, Chin-Wei Huang authored at least 31 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics.

Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg

CoRR, 2023

Taiwan's Experience with Emergency Distribution of Masks dring COVID-19 Pandemic.

Chin-Wei Huang, Yi-Fei Chuang

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

2022

Riemannian Diffusion Models.

Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville

CoRR, 2022

Riemannian Diffusion Models.

Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Dequantise with Truncated Flows.

Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Using a hybrid two-stage DEA model to analyze the profitability and marketability of medical manufacturing firms.

Chin-Wei Huang

Int. Trans. Oper. Res., 2021

A Variational Perspective on Diffusion-Based Generative Models and Score Matching.

Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

RealCause: Realistic Causal Inference Benchmarking.

Brady Neal, Chin-Wei Huang, Sunand Raghupathi

CoRR, 2020

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

Chin-Wei Huang, Laurent Dinh, Aaron C. Courville

CoRR, 2020

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation.

Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Neural Network with Kronecker Flow.

Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Investigating Biases in Textual Entailment Datasets.

Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville

CoRR, 2019

Note on the bias and variance of variational inference.

Chin-Wei Huang, Aaron C. Courville

CoRR, 2019

Probability Distillation: A Caveat and Alternatives.

Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

AIFood: A Large Scale Food Images Dataset for Ingredient Recognition.

Gwo Giun Chris Lee, Chin-Wei Huang, Jia-Hong Chen, Shih-Yu Chen, Hsiu-Ling Chen

Proceedings of the TENCON 2019, 2019

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

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hierarchical Importance Weighted Autoencoders.

Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville

Proceedings of the 36th International Conference on Machine Learning, 2019

Reconfigurable Edge via Analytics Architecture.

Shih-Yu Chen, Gwo Giun Chris Lee, Tai-Ping Wang, Chin-Wei Huang, Jia-Hong Chen, Chang-Ling Tsai

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

Generating Contradictory, Neutral, and Entailing Sentences.

Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville

CoRR, 2018

Improving Explorability in Variational Inference with Annealed Variational Objectives.

Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Autoregressive Flows.

Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Language Modeling by Jointly Learning Syntax and Lexicon.

Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Comprehensive model optimization in pulp quality prediction: a machine learning approach.

Chin-Wei Huang, Luc Baron, Marek Balazinski, Sofiane Achiche

PeerJ Prepr., 2017

Bayesian Hypernetworks.

David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville

CoRR, 2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference.

Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville

CoRR, 2017

2016

Using the nonhomogeneous frontier two-stage DEA model to assess the efficiencies of expense utilization and operation of the Taiwanese hotel industry.

Chin-Wei Huang, Yung-Ho Chiu, Chien-heng Tu, Zheng-ying Luo, Zebin Wang

Int. Trans. Oper. Res., 2016

2012

A non-radial measure of different systems for Taiwanese tourist hotels' efficiency assessment.

Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting

Central Eur. J. Oper. Res., 2012

2011

Assessment of China transit and economic efficiencies in a modified value-chains DEA model.

Yung-Ho Chiu, Chin-Wei Huang, Chun-Mei Ma

Eur. J. Oper. Res., 2011

Measuring the Repair Performance for stricken Cultivated Land and Agricultural Efficiency in China with a Modified Two-Stage DEA Model.

Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting

Asia Pac. J. Oper. Res., 2011

2009

An expert system for the diagnosis of faults in rotating machinery using adaptive order-tracking algorithm.

Jian-Da Wu, Mingsian R. Bai, Fu-Cheng Su, Chin-Wei Huang

Expert Syst. Appl., 2009