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Vignesh Gopakumar

2 accepted papers

2025

Calibrated Physics-Informed Uncertainty Quantification

ICML 2025poster

Simulating complex physical systems is crucial for understanding and predicting phenomena across diverse fields, such as fluid dynamics and heat transfer, as well as plasma physics and structural mechanics. Traditional approaches rely on solving partial differential equations (PDEs) using numerical…

Cited by 0SourcePDFScholar
2025

Guaranteed Prediction Sets for Functional Surrogate Models

UAI 2025

We propose a method for obtaining statistically guaranteed prediction sets for functional machine learning methods: surrogate models which map between function spaces, motivated by the need to build reliable PDE emulators. The method constructs nested prediction sets on a low-dimensional representat