75 citations · 182 across the 12 of their papers we have counts for
3 papers · 1 filter
Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Ellery Rajagopal, Anantha N. S. Babu, Tony Ryu +3
Data-driven, deep-learning modeling frameworks have been recently developed for forecasting time series data. Such machine learning models may be useful in multiple domains includi…
Generalized Neural Closure Models with Interpretability
Abhinav Gupta, Pierre F. J. Lermusiaux
Improving the predictive capability and computational cost of dynamical models is often at the heart of augmenting computational physics with machine learning (ML). However, most l…
Neural Closure Models for Dynamical Systems
Abhinav Gupta, Pierre F. J. Lermusiaux
Complex dynamical systems are used for predictions in many domains. Because of computational costs, models are truncated, coarsened, or aggregated. As the neglected and unresolved…