2.3k citations · 2.5k across the 9 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Self-supervised learning techniques are celebrating immense success in natural language processing (NLP) by enabling models to learn from broad language data at unprecedented scale…
Differentiable programming for functional connectomics
Rastko Ciric, Armin W. Thomas, Oscar Esteban +1
Mapping the functional connectome has the potential to uncover key insights into brain organisation. However, existing workflows for functional connectomics are limited in their ad…
Comparing interpretation methods in mental state decoding analyses with deep learning models
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Deep learning (DL) models find increasing application in mental state decoding, where researchers seek to understand the mapping between mental states (e.g., perceiving fear or joy…
Evaluating deep transfer learning for whole-brain cognitive decoding
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek +1
Research in many fields has shown that transfer learning (TL) is well-suited to improve the performance of deep learning (DL) models in datasets with small numbers of samples. This…