3 papers
stat.ME2026
SpARCD: A Spectral Graph Framework for Revealing Differential Functional Connectivity in fMRI Data
Shira Yoffe, Ziv Ben-Zion, Guy Gurevitch +3
Identifying brain regions that exhibit altered functional connectivity between cognitive or emotional states is a fundamental problem in neuroscience. We propose SpARCD (Spectral A…
stat.ME2026
Spectral Graph Filtering for Modality-Specific Representation Learning
Shira Yoffe, Amit Moscovich, Ariel Jaffe
Multimodal datasets, where measurements are obtained from multiple sensors, have become central to many scientific domains. In unsupervised settings, most representation learning m…
stat.ML2026
Graph-based Semi-Supervised Learning via Maximum Discrimination
Nadav Katz, Ariel Jaffe
Semi-supervised learning (SSL) addresses the critical challenge of training accurate models when labeled data is scarce but unlabeled data is abundant. Graph-based SSL (GSSL) has e…