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QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates


Mar 19, 2021
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau

* 17 pages 

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Towards Robust Neural Networks via Close-loop Control


Feb 03, 2021
Zhuotong Chen, Qianxiao Li, Zheng Zhang

* Published as a conference paper at ICLR 2021 

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Amata: An Annealing Mechanism for Adversarial Training Acceleration


Dec 15, 2020
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

* accepted by AAAI 

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A Data Driven Method for Computing Quasipotentials


Dec 13, 2020
Bo Lin, Qianxiao Li, Weiqing Ren


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Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning


Oct 22, 2020
Shen Ren, Qianxiao Li, Liye Zhang, Zheng Qin, Bo Yang

* 24 pages, comments welcome 

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OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle


Oct 04, 2020
Haijun Yu, Xinyuan Tian, Weinan E, Qianxiao Li

* 37 pages, 17 figures 

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On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis


Sep 16, 2020
Zhong Li, Jiequn Han, Weinan E, Qianxiao Li


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Inverse design of crystals using generalized invertible crystallographic representation


May 15, 2020
Zekun Ren, Juhwan Noh, Siyu Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi


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Optimization in Machine Learning: A Distribution Space Approach


Apr 18, 2020
Yongqiang Cai, Qianxiao Li, Zuowei Shen

* 26 pages, 12 figures 

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Collaborative Inference for Efficient Remote Monitoring


Feb 12, 2020
Chi Zhang, Yong Sheng Soh, Ling Feng, Tianyi Zhou, Qianxiao Li


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Deep Learning via Dynamical Systems: An Approximation Perspective


Dec 22, 2019
Qianxiao Li, Ting Lin, Zuowei Shen


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Computing Committor Functions for the Study of Rare Events Using Deep Learning


Jun 14, 2019
Qianxiao Li, Bo Lin, Weiqing Ren


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Distributed Optimization for Over-Parameterized Learning


Jun 14, 2019
Chi Zhang, Qianxiao Li


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Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations


Nov 05, 2018
Qianxiao Li, Cheng Tai, Weinan E


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On the Convergence and Robustness of Batch Normalization


Sep 29, 2018
Yongqiang Cai, Qianxiao Li, Zuowei Shen


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A Mean-Field Optimal Control Formulation of Deep Learning


Jul 03, 2018
Weinan E, Jiequn Han, Qianxiao Li

* 44 pages 

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Maximum Principle Based Algorithms for Deep Learning


Jun 02, 2018
Qianxiao Li, Long Chen, Cheng Tai, Weinan E

* Journal of Machine Learning Research 18 (2018) 1-29 
* Published version 

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An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks


Jun 02, 2018
Qianxiao Li, Shuji Hao


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Stochastic modified equations and adaptive stochastic gradient algorithms


Jun 20, 2017
Qianxiao Li, Cheng Tai, Weinan E

* Major changes including a proof of the weak approximation, asymptotic expansions and application-oriented adaptive algorithms 

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