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Ying Nian Wu

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Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

Sep 01, 2019
Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu

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On Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

May 27, 2019
Erik Nijkamp, Mitch Hill, Song-Chun Zhu, Ying Nian Wu

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On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models

Apr 11, 2019
Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu

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Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models

Apr 10, 2019
Yifei Xu, Tianyang Zhao, Chris Baker, Yibiao Zhao, Ying Nian Wu

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Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

Apr 09, 2019
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

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Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

Feb 07, 2019
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

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Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract)

Jan 21, 2019
Quanshi Zhang, Yu Yang, Ying Nian Wu

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Network Transplanting (extended abstract)

Jan 21, 2019
Quanshi Zhang, Yu Yang, Qian Yu, Ying Nian Wu

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Interpretable CNNs

Jan 08, 2019
Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu

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