Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

S Chandra Mouli; Danielle C. Maddix; Shima Alizadeh; Gaurav Gupta; Andrew Stuart; Michael W. Mahoney; Bernie Wang

2024 ICML ICML 2024

Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

Abstract

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Authors

S Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Neural Networks

Keywords

uncertainty quantification neural operator out of domain pdes diverseno probconserv

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