Tag: sensing

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators arXiv:2507.11574v1 Announce Type: cross Abstract: Robust uncertainty quantification (UQ) remains a critical barrier to the safe deployment of deep learning in real-time virtual sensing, particularly in high-stakes domains where sparse, noisy, or non-collocated sensor data are the norm. We introduce the Conformalized Monte Carlo Operator (CMCO), a…