This study presents a model-agnostic framework that pairs deep neural operators and Bayesian experimental design for the accurate prediction of extreme events, such as rogue waves, pandemic spikes and structural ship failures.
- Ethan Pickering
- Stephen Guth
- Themistoklis P. Sapsis
