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LARGE N LIMIT OF THE O(N) LINEAR SIGMA MODEL VIA STOCHASTIC QUANTIZATION 期刊论文
ANNALS OF PROBABILITY, 2022, 卷号: 50, 期号: 1, 页码: 131-202
Authors:  Shen, Hao;  Smith, Scott A.;  Zhu, Rongchan;  Zhu, Xiangchan
Favorite  |  View/Download:48/0  |  Submit date:2022/04/29
O(N) linear sigma model  Phi(4)  mean-field limit  stochastic quantization  space-time white noise  
OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
Authors:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan
Favorite  |  View/Download:169/0  |  Submit date:2019/12/13
Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization  
Recursive identification of FIR systems with binary-valued outputs and communication channels 期刊论文
AUTOMATICA, 2015, 卷号: 60, 页码: 165-172
Authors:  Guo, Jin;  Zhao, Yanlong;  Sun, Chang-Yin;  Yu, Yao
Favorite  |  View/Download:48/0  |  Submit date:2018/07/30
System identification  Binary-valued output  Communication channel  Convergence  Convergence rate  
A complex scaling approach to sequential Feynman integrals 期刊论文
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1999, 卷号: 79, 期号: 2, 页码: 287-300
Authors:  Luo, SL;  Yan, JA
Favorite  |  View/Download:103/0  |  Submit date:2018/07/30
analytic Feynman integrals  Cameron-Martin-type formula  complex scaling  Feynman-Wiener integrals  Fresnel integrals  sequential Feynman integrals  trace