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Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching



Cheng Lu , Kaiwen Zheng , Fan Bao , Jianfei Chen , Chongxuan Li , Jun Zhu

* Accepted in ICML 2022 

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Thompson Sampling for (Combinatorial) Pure Exploration



Siwei Wang , Jun Zhu


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Fast Lossless Neural Compression with Integer-Only Discrete Flows



Siyu Wang , Jianfei Chen , Chongxuan Li , Jun Zhu , Bo Zhang

* Accepted as a conference paper at International Conference on Machine Learning (ICML) 2022 

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Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models



Fan Bao , Chongxuan Li , Jiacheng Sun , Jun Zhu , Bo Zhang

* Accepted in ICML 2022 

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Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation



You Qiaoben , Chengyang Ying , Xinning Zhou , Hang Su , Jun Zhu , Bo Zhang


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Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk



Chengyang Ying , Xinning Zhou , Hang Su , Dong Yan , Ning Chen , Jun Zhu


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Diagnosing Ensemble Few-Shot Classifiers



Weikai Yang , Xi Ye , Xingxing Zhang , Lanxi Xiao , Jiazhi Xia , Zhongyuan Wang , Jun Zhu , Hanspeter Pfister , Shixia Liu

* Accepted in IEEE TVCG 

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GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing



Zhongkai Hao , Chengyang Ying , Yinpeng Dong , Hang Su , Jun Zhu , Jian Song


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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps



Cheng Lu , Yuhao Zhou , Fan Bao , Jianfei Chen , Chongxuan Li , Jun Zhu


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