State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
A data tree is a tree where each node has a label from a finite set, and a data value from a possibly infinite set. We consider data trees whose depth is bounded beforehand. By d...
Publish/Subscribe systems have become a prevalent model for delivering data from producers (publishers) to consumers (subscribers) distributed across wide-area networks while decou...
Abhishek Gupta, Ozgur D. Sahin, Divyakant Agrawal,...
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Abstract. We consider programs which are data independent with respect to two type variables X and Y , and can in addition use arrays indexed by X and storing values from Y . We ar...
Ranko Lazic, Thomas Christopher Newcomb, A. W. Ros...