Research

Real-Time Decoding of an Integrate and Fire Encoder NeurIPS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 A memory frontier for complex synapses NeurIPS 2013 A multi-agent control framework for co-adaptation in brain-computer interfaces NeurIPS 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Detecting Pulse from Head Motions in Video CVPR 2013 Drosophila Embryo Stage Annotation Using Label Propagation ICCV 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Matrix factorization with binary components NeurIPS 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013