#Haiping Huang

Minimal model of permutation symmetry in unsupervised learning

统计物理与神经计算 , 中山大学

Statistical physics of unsupervised learning with prior knowledge in neural networks

统计物理与神经计算 , 中山大学

Variational mean-field theory for training restricted Boltzmann machines with binary synapses

统计物理与神经计算 , 中山大学

Learning credit assignment

统计物理与神经计算 , 中山大学

Weakly-correlated synapses promote dimension reduction in deep neural networks

统计物理与神经计算 , 中山大学

Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors

统计物理与神经计算 , 中山大学

Data-driven effective model shows a liquid-like deep learning

统计物理与神经计算 , 中山大学

Ensemble perspective for understanding temporal credit assignment

统计物理与神经计算 , 中山大学

Eigenvalue spectrum of neural networks with arbitrary Hebbian length

统计物理与神经计算 , 中山大学

Associative memory model with arbitrary Hebbian length

统计物理与神经计算 , 中山大学

Equivalence between belief propagation instability and transition to replica symmetry breaking in perceptron learning systems

统计物理与神经计算 , 中山大学

Emergence of hierarchical modes from deep learning

统计物理与神经计算 , 中山大学

Spectrum of non-Hermitian deep-Hebbian neural networks

统计物理与神经计算 , 中山大学

Statistical mechanics of continual learning: variational principle and mean-field potential

统计物理与神经计算 , 中山大学

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