The Physics Constraint Paradox: When Removing Explicit Constraints Improves Physics-Informed Data for Machine Learning. - Rahul D. Ray (CoRR, 2025)

INTACT: Intent-Aware Representation Learning for Cryptographic Traffic Violation Detection. - Rahul D. Ray (CoRR, 2026)

ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics. - Rahul D. Ray (CoRR, 2026)

From Data to Laws: Neural Discovery of Conservation Laws Without False Positives. - Rahul D. Ray (CoRR, 2026)

Beyond a Single Signal: SPECTREG2, A Unified MultiExpert Anomaly Detector for Unknown Unknowns. - Rahul D. Ray (CoRR, 2026)

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning. - Rahul D. Ray; Utkarsh Srivastava (CoRR, 2026)

Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins. - Rahul D. Ray (CoRR, 2026)