Research
1,143 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
1
28
13
24
16
30
18
32
24
19
12
17
30
40
55
89
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96
110
198
205
31
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Papers (including subtopics)
Multiresolution Gaussian Processes
NeurIPS 2012
Multiresolution Mixture Modeling using Merging of Mixture Components
ACML 2012
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA
NeurIPS 2012
Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter
NeurIPS 2012
Nonparametric Reduced Rank Regression
NeurIPS 2012
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
NeurIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
NeurIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
NeurIPS 2012
Structured Learning of Gaussian Graphical Models
NeurIPS 2012
Structured Sparse Canonical Correlation Analysis
AISTATS 2012
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
NeurIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
NeurIPS 2012
A blind sparse deconvolution method for neural spike identification
NeurIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
NeurIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications
ACML 2011
A Global Structural EM Algorithm for a Model of Cancer Progression
NeurIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
NeurIPS 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes
JMLR 2011
Dynamical segmentation of single trials from population neural data
NeurIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NeurIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
NeurIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
NeurIPS 2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
NeurIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
NeurIPS 2011
Learning from positive and unlabeled examples by enforcing statistical significance
AISTATS 2011