169 citations · 818 across the 32 of their papers we have counts for
3 papers · 1 filter
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
The aim of this work is to enable inference of deep networks that retain high accuracy for the least possible model complexity, with the latter deduced from the data during inferen…
Unsupervised learning of the brain connectivity dynamic using residual D-net
Youngjoo Seo, Manuel Morante, Yannis Kopsinis +1
In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net. As it is often the case in medic…
Information Assisted Dictionary Learning for fMRI data analysis
Manuel Morante, Yannis Kopsinis, Sergios Theodoridis +1
In this paper, the task-related fMRI problem is treated in its matrix factorization formulation, focused on the Dictionary Learning (DL) approach. The new method allows the incorpo…