Deep Learning

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Structured Learning with Approximate Inference NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Synergistic Face Detection and Pose Estimation with Energy-Based Models JMLR 2007 The Generalized FITC Approximation NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 Topmoumoute Online Natural Gradient Algorithm NeurIPS 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Variational inference for Markov jump processes NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 A Scalable Machine Learning Approach to Go NeurIPS 2006 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network NeurIPS 2006 Blind Motion Deblurring Using Image Statistics NeurIPS 2006 Boosting Structured Prediction for Imitation Learning NeurIPS 2006 Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NeurIPS 2006