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Regularized Stein Variational Gradient Flow


Nov 15, 2022
Ye He, Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Jianfeng Lu


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Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions


Nov 03, 2022
Hongrui Chen, Holden Lee, Jianfeng Lu


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On Representing Mixed-Integer Linear Programs by Graph Neural Networks


Oct 19, 2022
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin


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Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction


Oct 12, 2022
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu


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Convergence of score-based generative modeling for general data distributions


Oct 03, 2022
Holden Lee, Jianfeng Lu, Yixin Tan


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On Representing Linear Programs by Graph Neural Networks


Sep 25, 2022
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin


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A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation


Aug 25, 2022
Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu


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MonoPCNS: Monocular 3D Object Detection via Point Cloud Network Simulation


Aug 19, 2022
Han Sun, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang, Kejian Wu, Jianfeng Lu


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Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction


Aug 02, 2022
Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu

* accepted by ECCV2022 

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