Research
1,143 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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28
13
24
16
30
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32
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55
89
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31
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Papers (including subtopics)
A Reduced-Dimension fMRI Shared Response Model
NeurIPS 2015
Autonomy Infused Teleoperation with Application to BCI Manipulation
RSS 2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
CVPR 2015
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation
ICCV 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
NeurIPS 2015
GP Kernels for Cross-Spectrum Analysis
NeurIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems
NeurIPS 2015
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
ICML 2015
On Linearly Constrained Minimum Variance Beamforming
JMLR 2015
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data
ICML 2015
Recognizing retinal ganglion cells in the dark
NeurIPS 2015
Robust Heart Rate Measurement From Video Using Select Random Patches
ICCV 2015
A Bayesian model for identifying hierarchically organised states in neural population activity
NeurIPS 2014
Analysis of Brain States from Multi-Region LFP Time-Series
NeurIPS 2014
Biclustering Using Message Passing
NeurIPS 2014
Distance-Based Network Recovery under Feature Correlation
NeurIPS 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation
ICML 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
NeurIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity
NeurIPS 2014
Learning Modular Structures from Network Data and Node Variables
ICML 2014
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
NeurIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables
NeurIPS 2014
On Sparse Gaussian Chain Graph Models
NeurIPS 2014
On the relations of LFPs & Neural Spike Trains
NeurIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
NeurIPS 2014