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On Fast Sampling of Diffusion Probabilistic Models


May 31, 2021
Zhifeng Kong, Wei Ping


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Understanding Instance-based Interpretability of Variational Auto-Encoders


May 29, 2021
Zhifeng Kong, Kamalika Chaudhuri


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Universal Approximation of Residual Flows in Maximum Mean Discrepancy


Mar 10, 2021
Zhifeng Kong, Kamalika Chaudhuri

* 8 pages 

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DiffWave: A Versatile Diffusion Model for Audio Synthesis


Sep 21, 2020
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro


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The Expressive Power of a Class of Normalizing Flow Models


May 31, 2020
Zhifeng Kong, Kamalika Chaudhuri

* 29 pages, 7 figures; to appear on AISTATS 2020 

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Fastened CROWN: Tightened Neural Network Robustness Certificates


Dec 02, 2019
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

* Zhaoyang Lyu and Ching-Yun Ko contributed equally, accepted to AAAI 2020 

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Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with $\ell_1$ and $\ell_2$ Regularization


Nov 19, 2017
Zhifeng Kong

* 10 pages 

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WristAuthen: A Dynamic Time Wrapping Approach for User Authentication by Hand-Interaction through Wrist-Worn Devices


Oct 22, 2017
Qi Lyu, Zhifeng Kong, Chao Shen, Tianwei Yue

* 11 pages, 12 figures 

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Generative Adversarial Networks with Inverse Transformation Unit


Sep 27, 2017
Zhifeng Kong, Shuo Ding

* 11 pages, 9 figures 

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