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CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks

Oct 05, 2020
Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei


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Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows

Feb 24, 2020
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas Lehrmann


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Variational Hyper RNN for Sequence Modeling

Feb 24, 2020
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker


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Point Process Flows

Oct 31, 2019
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori


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AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks

Feb 26, 2019
Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

* Published as a conference paper at ICLR 2019 

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Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs

Jan 25, 2019
Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington


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Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos

Oct 01, 2018
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal

* submitted to ICLR2019. arXiv admin note: text overlap with arXiv:1703.07814, arXiv:1406.6247 by other authors 

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Convolutional Neural Networks combined with Runge-Kutta Methods

May 19, 2018
Mai Zhu, Bo Chang, Chong Fu


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Modular Generative Adversarial Networks

Apr 10, 2018
Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal


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Multi-level Residual Networks from Dynamical Systems View

Feb 01, 2018
Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

* Published as a conference paper at ICLR 2018 

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Generating Handwritten Chinese Characters using CycleGAN

Jan 25, 2018
Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng

* Accepted at WACV 2018 

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Reversible Architectures for Arbitrarily Deep Residual Neural Networks

Nov 18, 2017
Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham

* Accepted at AAAI 2018 

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