Multifidelity ensemble Kalman filtering using surrogate models defined by theory-guided autoencoders

Andrey A Popov, Adrian Sandu

Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches, vol. 16648714, Frontiers Media SA, 2023, p. 41

The Model Forest Ensemble Kalman Filter

Andrey A Popov, Adrian Sandu

arXiv preprint arXiv:2210.11971, 2022

Multifidelity data assimilation for physical systems

Andrey A Popov, Adrian Sandu

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), Springer International Publishing, 2022, pp. 43--67

A multifidelity ensemble Kalman filter with reduced order control variates

Andrey A Popov, Changhong Mou, Adrian Sandu, Traian Iliescu

SIAM Journal on Scientific Computing, vol. 43, SIAM, 2021, pp. A1134--A1162