| Origin of the computational hardness for learning with binary synapses H Huang, Y Kabashima Physical Review E 90 (5), 052813, 2014 | 73 | 2014 |
| Statistical mechanics of neural networks H Huang Springer, 2021 | 53 | 2021 |
| Entropy landscape of solutions in the binary perceptron problem H Huang, KYM Wong, Y Kabashima Journal of Physics A: Mathematical and Theoretical 46 (37), 375002, 2013 | 43 | 2013 |
| Advanced mean-field theory of the restricted Boltzmann machine H Huang, T Toyoizumi Physical Review E 91 (5), 050101, 2015 | 41 | 2015 |
| Mechanisms of dimensionality reduction and decorrelation in deep neural networks H Huang Physical Review E 98 (6), 062313, 2018 | 35 | 2018 |
| Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses H Huang Journal of Statistical Mechanics: Theory and Experiment 2017 (5), 053302, 2017 | 29 | 2017 |
| Minimal model of permutation symmetry in unsupervised learning T Hou, KYM Wong, H Huang Journal of Physics A: Mathematical and Theoretical 52 (41), 414001, 2019 | 22 | 2019 |
| Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition H Huang, T Toyoizumi Physical Review E 94 (6), 062310, 2016 | 22 | 2016 |
| Reconstructing the Hopfield network as an inverse Ising problem H Huang Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (3 …, 2010 | 19 | 2010 |
| Statistical physics of unsupervised learning with prior knowledge in neural networks T Hou, H Huang Physical Review Letters 124 (24), 248302, 2020 | 18 | 2020 |
| Adaptive Thouless-Anderson-Palmer approach to inverse Ising problems with quenched random fields H Huang, Y Kabashima Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (6 …, 2013 | 18 | 2013 |
| Dynamics of asymmetric kinetic Ising systems revisited H Huang, Y Kabashima Journal of Statistical Mechanics: Theory and Experiment 2014 (5), P05020, 2014 | 15 | 2014 |
| Effects of hidden nodes on network structure inference H Huang Journal of Physics A: Mathematical and Theoretical 48 (35), 355002, 2015 | 13 | 2015 |
| Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors Z Jiang, J Zhou, H Huang Chinese Physics B 30 (4), 048702, 2021 | 12 | 2021 |
| Clustering of neural code words revealed by a first-order phase transition H Huang, T Toyoizumi Physical Review E 93 (6), 062416, 2016 | 12 | 2016 |
| Cavity approach to the Sourlas code system H Huang, H Zhou Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (5 …, 2009 | 12 | 2009 |
| Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings W Zou, H Huang SciPost Physics Lecture Notes, 079, 2024 | 11 | 2024 |
| Learning credit assignment C Li, H Huang Physical Review Letters 125 (17), 178301, 2020 | 10 | 2020 |
| Statistical mechanics of continual learning: Variational principle and mean-field potential C Li, Z Huang, W Zou, H Huang Physical Review E 108 (1), 014309, 2023 | 9 | 2023 |
| Weakly correlated synapses promote dimension reduction in deep neural networks J Zhou, H Huang Physical Review E 103 (1), 012315, 2021 | 9 | 2021 |
Yoshiyuki KabashimaInstitute for Physics of Intelligence & Department of Physics, The University of Tokyoยืนยันอีเมลแล้วที่ phys.s.u-tokyo.ac.jp