CMCO attaches conformalized Monte Carlo dropout intervals to DeepONet field predictions, achieving high average coverage but severe undercoverage in some test samples.
Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems
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Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
CMCO attaches conformalized Monte Carlo dropout intervals to DeepONet field predictions, achieving high average coverage but severe undercoverage in some test samples.