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Chin-Wei Huang

A generative model for inorganic materials design
2025 · Claudio Zeni, Robert Pinsler, et al. · Nature · 511
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Neural Autoregressive Flows
2018 · Huang, Chin-Wei, Krueger, David, et al. · arXiv (Cornell University) · 238
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Neural Language Modeling by Jointly Learning Syntax and Lexicon
2017 · Shen, Yikang, Lin, Zhouhan, et al. · arXiv (Cornell University) · 148
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Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
2023 · Marloes Arts, Victor Garcia Satorras, et al. · Journal of Chemical Theory and Computation · 92
Problems in the deployment of machine-learned models in health care
2021 · Joseph Paul Cohen, Tianshi Cao, et al. · Canadian Medical Association Journal · 68
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vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
2019 · Sun, Fan-Yun, Qu, Meng, et al. · arXiv (Cornell University) · 67
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MatterGen: a generative model for inorganic materials design
2023 · Zeni, Claudio, Pinsler, Robert, et al. · arXiv (Cornell University) · 66
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A Variational Perspective on Diffusion-Based Generative Models and Score Matching
2021 · Huang, Chin-Wei, Lim, Jae Hyun, et al. · arXiv (Cornell University) · 53
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Bayesian Hypernetworks
2017 · Krueger, David, Huang, Chin-Wei, et al. · arXiv (Cornell University) · 42
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A Benchmark of Medical Out of Distribution Detection
2020 · Cao, Tianshi, Huang, Chin-Wei, et al. · arXiv (Cornell University) · 39
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Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
2020 · Huang, Chin-Wei, Dinh, Laurent, et al. · arXiv (Cornell University) · 32
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Improving Explorability in Variational Inference with Annealed Variational Objectives
2018 · Huang, Chin-Wei, Tan, Shawn, et al. · arXiv (Cornell University) · 32
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Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
2020 · Huang, Chin-Wei, Chen, Ricky T. Q., et al. · arXiv (Cornell University) · 30
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Riemannian Diffusion Models
2022 · Chin-Wei Huang, Milad Aghajohari, et al. · neural information processing systems · 22
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RealCause: Realistic Causal Inference Benchmarking
2020 · Neal, Brady, Huang, Chin-Wei, et al. · arXiv (Cornell University) · 18
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Learnable Explicit Density for Continuous Latent Space and Variational Inference
2017 · Huang, Chin-Wei, Touati, Ahmed, et al. · arXiv (Cornell University) · 15
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Accurate and scalable exchange-correlation with deep learning
2025 · Luise, Giulia, Huang, Chin-Wei, et al. · arXiv (Cornell University) · 11
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AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
2020 · Lim, Jae Hyun, Courville, Aaron, et al. · arXiv (Cornell University) · 11
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Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
2026 · Sebastian Ehlert, Jan Hermann, et al. · Scientific Data · 9
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Hierarchical Importance Weighted Autoencoders
2019 · Huang, Chin-Wei, Sankaran, Kris, et al. · arXiv (Cornell University) · 8
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Stochastic Neural Network with Kronecker Flow
2019 · Huang, Chin-Wei, Touati, Ahmed, et al. · arXiv (Cornell University) · 7
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Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models
2020 · Chin-Wei Huang, Laurent Dinh, et al. · International Conference on Learning Representations · 6
Investigating Biases in Textual Entailment Datasets
2019 · Tan, Shawn, Shen, Yikang, et al. · arXiv (Cornell University) · 5
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Probability Distillation: A Caveat and Alternatives.
2019 · Chin-Wei Huang, Faruk Ahmed, et al. · Uncertainty in Artificial Intelligence · 4
Comprehensive model optimization in pulp quality prediction: a machine learning approach
2017 · Chin-Wei Huang, Luc Baron, et al. · 3
Works count: 36
Citation count: 1,535
H-index: 15
I10-index: 18
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