Architectures

Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010 Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010 Structured Determinantal Point Processes NeurIPS 2010 Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010 Tiled convolutional neural networks NeurIPS 2010 3D Object Recognition with Deep Belief Nets NeurIPS 2009 A Neural Implementation of the Kalman Filter NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Conditional Neural Fields NeurIPS 2009 Exploring Strategies for Training Deep Neural Networks JMLR 2009 Fast subtree kernels on graphs NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009 On Invariance in Hierarchical Models NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 A Scalable Hierarchical Distributed Language Model NeurIPS 2008