2 citations · 4 across the 11 of their papers we have counts for
4 papers · 1 filter
Detecting Daily Living Gait Amid Huntington's Disease Chorea using a Foundation Deep Learning Model
Dafna Schwartz, Lori Quinn, Nora E. Fritz +3
Wearable sensors offer a non-invasive way to collect physical activity (PA) data, with walking as a key component. Existing models often struggle to detect gait bouts in individual…
On the Utilization of Unique Node Identifiers in Graph Neural Networks
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb +2
Graph Neural Networks have inherent representational limitations due to their message-passing structure. Recent work has suggested that these limitations can be overcome by using u…
The Interpretable and Effective Graph Neural Additive Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Graph Neural Networks (GNNs) have emerged as the predominant approach for learning over graph-structured data. However, most GNNs operate as black-box models and require post-hoc e…
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
Nir Weingarten, Zohar Yakhini, Moshe Butman +1
Deep Neural Nets (DNNs) learn latent representations induced by their downstream task, objective function, and other parameters. The quality of the learned representations impacts…