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On Distillation of Guided Diffusion Models


Oct 06, 2022
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

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Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells


Oct 06, 2022
Dehong Xu, Ruiqi Gao, Wen-Hao Zhang, Xue-Xin Wei, Ying Nian Wu

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Imagen Video: High Definition Video Generation with Diffusion Models


Oct 05, 2022
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans

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* See accompanying website: https://imagen.research.google/video/ 

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Latent Diffusion Energy-Based Model for Interpretable Text Modeling


Jun 14, 2022
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

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* ICML 2022 

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Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis


Apr 15, 2021
Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, YingNian Wu

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A Theory of Label Propagation for Subpopulation Shift


Feb 22, 2021
Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei

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Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis


Dec 25, 2020
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

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* 16 pages. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020. arXiv admin note: substantial text overlap with arXiv:1804.00586 

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Learning Energy-Based Models by Diffusion Recovery Likelihood


Dec 15, 2020
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma

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Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot


Sep 22, 2020
Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee

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* Original submission to NeurIPS 2020. Under review 

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