268 citations · 371 across the 18 of their papers we have counts for
6 papers · 1 filter
Circular Clustering with Polar Coordinate Reconstruction
Xiaoxiao Sun, Paul Sajda
There is a growing interest in characterizing circular data found in biological systems. Such data are wide ranging and varied, from signal phase in neural recordings to nucleotide…
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
Arunesh Mittal, Kai Yang, Paul Sajda +1
Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed…
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data
Sharath Koorathota, Arunesh Mittal, Richard P. Sloan +1
Cognition in midlife is an important predictor of age-related mental decline and statistical models that predict cognitive performance can be useful for predicting decline. However…
Latent neural source recovery via transcoding of simultaneous EEG-fMRI
Xueqing Liu, Linbi Hong, Paul Sajda
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution for inferring a latent source space of neural activity. In…
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia +4
Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs a…
Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ)
Bryan R. Conroy, Jennifer M. Walz, Brian Cheung +1
We present an efficient algorithm for simultaneously training sparse generalized linear models across many related problems, which may arise from bootstrapping, cross-validation an…