Origin of the computational hardness for learning with binary synapses H Huang, Y Kabashima Physical Review E 90 (5), 052813, 2014 | 59 | 2014 |

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 | 46 | 2013 |

Advanced mean-field theory of the restricted Boltzmann machine H Huang, T Toyoizumi Physical Review E 91 (5), 050101, 2015 | 39 | 2015 |

Statistical mechanics of neural networks H Huang Springer, 2021 | 38 | 2021 |

Mechanisms of dimensionality reduction and decorrelation in deep neural networks H Huang Physical Review E 98 (6), 062313, 2018 | 32 | 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 | 26 | 2017 |

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 81 (3), 036104, 2010 | 19 | 2010 |

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 | 18 | 2019 |

Statistical physics of unsupervised learning with prior knowledge in neural networks T Hou, H Huang Physical Review Letters 124 (24), 248302, 2020 | 17 | 2020 |

Adaptive Thouless-Anderson-Palmer approach to inverse Ising problems with quenched random fields H Huang, Y Kabashima Physical Review E 87 (6), 062129, 2013 | 17 | 2013 |

Effects of hidden nodes on network structure inference H Huang Journal of Physics A: Mathematical and Theoretical 48 (35), 355002, 2015 | 12 | 2015 |

Dynamics of asymmetric kinetic Ising systems revisited H Huang, Y Kabashima Journal of Statistical Mechanics: Theory and Experiment 2014 (5), P05020, 2014 | 12 | 2014 |

Clustering of neural code words revealed by a first-order phase transition H Huang, T Toyoizumi Physical Review E 93 (6), 062416, 2016 | 11 | 2016 |

Cavity approach to the Sourlas code system H Huang, H Zhou Physical Review E 80 (5), 056113, 2009 | 11 | 2009 |

Learning credit assignment C Li, H Huang Physical Review Letters 125 (17), 178301, 2020 | 10 | 2020 |

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 | 9 | 2021 |

Structure of attractors in randomly connected networks T Toyoizumi, H Huang Physical Review E 91 (3), 032802, 2015 | 9 | 2015 |

Message passing algorithms for the hopfield network reconstruction: Threshold behavior and limitation H Huang Physical Review E 82 (5), 056111, 2010 | 8 | 2010 |

Weakly correlated synapses promote dimension reduction in deep neural networks J Zhou, H Huang Physical Review E 103 (1), 012315, 2021 | 7 | 2021 |