Sequence Modeling

Dynamical segmentation of single trials from population neural data NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Maximum likelihood trajectories for continuous-time Markov chains NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Time-Varying Dynamic Bayesian Networks NeurIPS 2009 Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NeurIPS 2008 Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Modelling motion primitives and their timing in biologically executed movements NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007