2 papers
cs.LG2026
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Rabia Gondur, Usama Bin Sikandar, Evan Schaffer +2
Characterizing the relationship between neural population activity and behavioral data is a central goal of neuroscience. While latent variable models (LVMs) are successful in desc…
cs.CV2024
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms
Ari Blau, Evan S Schaffer, Neeli Mishra +4
Action segmentation of behavioral videos is the process of labeling each frame as belonging to one or more discrete classes, and is a crucial component of many studies that investi…