68 citations · 493 across the 40 of their papers we have counts for
4 papers · 1 filter
Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses
Haiping Huang
Revealing hidden features in unlabeled data is called unsupervised feature learning, which plays an important role in pretraining a deep neural network. Here we provide a statistic…
Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition
Haiping Huang, Taro Toyoizumi
Unsupervised neural network learning extracts hidden features from unlabeled training data. This is used as a pretraining step for further supervised learning in deep networks. Hen…
Clustering of neural codewords revealed by a first-order phase transition
Haiping Huang, Taro Toyoizumi
A network of neurons in the central nervous system collectively represents information by its spiking activity states. Typically observed states, i.e., codewords, occupy only a lim…
Theory of population coupling and applications to describe high order correlations in large populations of interacting neurons
Haiping Huang
To understand the collective spiking activity in neuronal populations, it is essential to reveal basic circuit variables responsible for these emergent functional states. Here, I d…