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cs.LG2026
Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems
Alexander Apartsin, Yehudit Aperstein
A cyber-physical system (CPS) can enter a faulty state that is individually normal on every sensor and reconstructs accurately, yet is improbable under normal joint operation. This…
cs.LG2025
Improving Deep Tabular Learning
Sivan Sarafian, Yehudit Aperstein
Tabular data remain a dominant form of real-world information but pose persistent challenges for deep learning due to heterogeneous feature types, lack of natural structure, and li…
cs.LG2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
Assaf Lahiany, Yehudit Aperstein
For many practical applications, a high computational cost of inference over deep network architectures might be unacceptable. A small degradation in the overall inference accuracy…