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Haiping Huang

Showing results (11-20 of 126) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2015
Advanced mean-field theory of the restricted Boltzmann machineHaiping Huang, Taro Toyoizumi
Physical Review. E|September 19, 2024
Spiking mode-based neural networksZhanghan Lin, Haiping Huang
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 3, 2012
Counting solutions from finite samplingsHaiping Huang, Haijun Zhou
Physical Review. E|July 15, 2016
Clustering of neural code words revealed by a first-order phase transitionHaiping Huang, Taro Toyoizumi
Physical Review. E|February 19, 2021
Weakly correlated synapses promote dimension reduction in deep neural networksJianwen Zhou, Haiping Huang
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 16, 2013
Adaptive Thouless-Anderson-Palmer approach to inverse Ising problems with quenched random fieldsHaiping Huang, Yoshiyuki Kabashima
Physical Review Letters|July 9, 2020
Statistical Physics of Unsupervised Learning with Prior Knowledge in Neural NetworksTianqi Hou, Haiping Huang
Physical Review Letters|November 6, 2020
Learning Credit AssignmentChan Li, Haiping Huang
Physical Review. E|November 18, 2025
Freezing chaos without synaptic plasticityWeizhong Huang, Haiping Huang
Physical Review. E|December 23, 2025
Synaptic plasticity alters the nature of the chaos transition in neural networksWenkang Du, Haiping Huang
Pageof 13

Showing results (11-20 of 126) with videos related to

Sort By:
Pageof 13
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2015
Advanced mean-field theory of the restricted Boltzmann machineHaiping Huang, Taro Toyoizumi
Physical Review. E|September 19, 2024
Spiking mode-based neural networksZhanghan Lin, Haiping Huang
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 3, 2012
Counting solutions from finite samplingsHaiping Huang, Haijun Zhou
Physical Review. E|July 15, 2016
Clustering of neural code words revealed by a first-order phase transitionHaiping Huang, Taro Toyoizumi
Physical Review. E|February 19, 2021
Weakly correlated synapses promote dimension reduction in deep neural networksJianwen Zhou, Haiping Huang
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 16, 2013
Adaptive Thouless-Anderson-Palmer approach to inverse Ising problems with quenched random fieldsHaiping Huang, Yoshiyuki Kabashima
Physical Review Letters|July 9, 2020
Statistical Physics of Unsupervised Learning with Prior Knowledge in Neural NetworksTianqi Hou, Haiping Huang
Physical Review Letters|November 6, 2020
Learning Credit AssignmentChan Li, Haiping Huang
Physical Review. E|November 18, 2025
Freezing chaos without synaptic plasticityWeizhong Huang, Haiping Huang
Physical Review. E|December 23, 2025
Synaptic plasticity alters the nature of the chaos transition in neural networksWenkang Du, Haiping Huang
Pageof 13