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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

* 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

* Original submission to NeurIPS 2020. Under review 

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A Representational Model of Grid Cells Based on Matrix Lie Algebras


Jun 18, 2020
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC


Jun 12, 2020
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu


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Flow Contrastive Estimation of Energy-Based Models


Dec 02, 2019
Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu


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Representation Learning: A Statistical Perspective


Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

* Annual Review of Statistics and Its Application 2020 

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Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns


Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 

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Convergence of Adversarial Training in Overparametrized Networks


Jun 19, 2019
Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee

* 33 pages 

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A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems


May 28, 2019
Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang

* Submitted to NeurIPS 2019 

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Learning Dynamic Generator Model by Alternating Back-Propagation Through Time


Dec 27, 2018
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019 
* 10 pages 

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Cooperative Training of Descriptor and Generator Networks


Oct 29, 2018
Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

* 18 pages 

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Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion


Oct 12, 2018
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models


Oct 09, 2018
Ying Nian Wu, Ruiqi Gao, Tian Han, Song-Chun Zhu


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Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry


Jun 16, 2018
Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu


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Learning Generative ConvNets via Multi-grid Modeling and Sampling


Apr 18, 2018
Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu

* CVPR 2018 

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Learning Descriptor Networks for 3D Shape Synthesis and Analysis


Apr 02, 2018
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

* CVPR 2018 

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