Deep Learning

Multi-Task Feature Learning NeurIPS 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 Recursive ICA NeurIPS 2006 Similarity by Composition NeurIPS 2006 Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006 Temporal Coding using the Response Properties of Spiking Neurons NeurIPS 2006 The Neurodynamics of Belief Propagation on Binary Markov Random Fields NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Denoising Source Separation JMLR 2005 Variational Message Passing JMLR 2005 Probability Product Kernels JMLR 2004 A Neural Probabilistic Language Model JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003 Matching Words and Pictures JMLR 2003 MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003 Learning Precise Timing with LSTM Recurrent Networks JMLR 2002 Shallow Parsing using Specialized HMMs JMLR 2002