Общедоступные статьи - Chang LiuПодробнее...
1 статья недоступна нигде
Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder
J Xing, S Li, S Zheng, C Liu, X Wang, L Huang, G Song, Y He, S Wang, ...
Environmental Science & Technology 56 (14), 9903-9914, 2022
Финансирование: National Natural Science Foundation of China
11 статей доступны в некоторых источниках
Generalizing to unseen domains: A survey on domain generalization
J Wang, C Lan, C Liu, Y Ouyang, T Qin, W Lu, Y Chen, W Zeng, SY Philip
IEEE transactions on knowledge and data engineering 35 (8), 8052-8072, 2022
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Understanding and Accelerating Particle-Based Variational Inference
C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin
International Conference on Machine Learning, 4082--4092, 2019
Финансирование: National Natural Science Foundation of China
Message Passing Stein Variational Gradient Descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 2018
Финансирование: National Natural Science Foundation of China
Riemannian Stein Variational Gradient Descent for Bayesian Inference
C Liu, J Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Финансирование: National Natural Science Foundation of China
Stochastic Gradient Geodesic MCMC Methods
C Liu, J Zhu, Y Song
Advances in Neural Information Processing Systems, 3009-3017, 2016
Финансирование: National Natural Science Foundation of China
Invertible Rescaling Network and Its Extensions
M Xiao, S Zheng, C Liu, Z Lin, TY Liu
International Journal of Computer Vision 131 (1), 134-159, 2023
Финансирование: National Natural Science Foundation of China
Understanding MCMC Dynamics as Flows on the Wasserstein Space
C Liu, J Zhuo, J Zhu
International Conference on Machine Learning, 4093--4103, 2019
Финансирование: National Natural Science Foundation of China
Variational Annealing of GANs: A Langevin Perspective
C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ...
International Conference on Machine Learning, 6176-6185, 2019
Финансирование: US National Science Foundation, US Department of Energy, US Department of …
Mimicking atmospheric photochemical modeling with a deep neural network
J Xing, S Zheng, S Li, L Huang, X Wang, JT Kelly, S Wang, C Liu, C Jang, ...
Atmospheric Research 265, 105919, 2022
Финансирование: National Natural Science Foundation of China
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
MH Zhu, C Liu, J Zhu
International Conference on Machine Learning, 9500--9511, 2020
Финансирование: National Natural Science Foundation of China
Geometry in sampling methods: A review on manifold MCMC and particle-based variational inference methods
C Liu, J Zhu
Advancements in Bayesian Methods and Implementations 47, 239, 2022
Финансирование: National Natural Science Foundation of China
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