Architectures

Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 Why The Brain Separates Face Recognition From Object Recognition NeurIPS 2011 A biologically plausible network for the computation of orientation dominance NeurIPS 2010 A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NeurIPS 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 Attractor Dynamics with Synaptic Depression NeurIPS 2010 Deep Coding Network NeurIPS 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 Neural conditional random fields AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 Phoneme Recognition with Large Hierarchical Reservoirs NeurIPS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NeurIPS 2010 PyBrain JMLR 2010