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cs.AI2025
P-CAFE: Personalized Cost-Aware Incremental Feature Selection For Electronic Health Records
Naama Kashani, Mira Cohen, Uri Shaham
Electronic Health Records (EHR) have revolutionized healthcare by digitizing patient data, improving accessibility, and streamlining clinical workflows. However, extracting meaning…
cs.CV2025
Enhancing VICReg: Random-Walk Pairing for Improved Generalization and Better Global Semantics Capturing
Idan Simai, Ronen Talmon, Uri Shaham
In this paper, we argue that viewing VICReg-a popular self-supervised learning (SSL) method--through the lens of spectral embedding reveals a potential source of sub-optimality: it…
cs.LG2025
Convexified Message-Passing Graph Neural Networks
Saar Cohen, Noa Agmon, Uri Shaham
Graph Neural Networks (GNNs) are key tools for graph representation learning, demonstrating strong results across diverse prediction tasks. In this paper, we present Convexified Me…