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

Published in Proceedings of the 41st International Conference on Machine Learning (ICML), 2024

Recommended citation: Mouli, S.C., Maddix, D.C., Alizadeh, S., Gupta, G., Wang, Y., Stuart, A., Mahoney, M.W. (2024). "Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs." Technical Report, Preprint arXiv:2403.10642, Proceedings of the 41st International Conference on Machine Learning (ICML), Accepted. https://arxiv.org/abs/2403.10642