Paper-Conference

Guaranteed Prediction Sets for Functional Surrogate models
We propose a method for obtaining statistically guaranteed prediction sets for functional machine learning methods: surrogate models …
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Calibrated Physics-Informed Uncertainty Quantification
Neural PDEs have emerged as inexpensive surrogate models for numerical PDE solvers. While they offer efficient approximations, they …
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