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Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory

Oct 20, 2020
Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong


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Learning hierarchical behavior and motion planning for autonomous driving

May 08, 2020
Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong


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PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs

Sep 23, 2019
Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis

* 17 pages, 7 figures, 5 tables 

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Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks

May 03, 2019
Dongkun Zhang, Ling Guo, George Em Karniadakis


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Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Nov 05, 2018
Liu Yang, Dongkun Zhang, George Em Karniadakis


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Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

Sep 21, 2018
Dongkun Zhang, Lu Lu, Ling Guo, George Em Karniadakis


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