Neural Networks

Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Generative versus discriminative training of RBMs for classification of fMRI images NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Manifold Learning: The Price of Normalization JMLR 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 Self-organization using synaptic plasticity NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007