Filtering skill for turbulent signals for a suite of nonlinear and linear extended Kalman filters. - Michal Branicki; Boris Gershgorin; Andrew J. Majda (J. Comput. Phys., 2012)

Dynamic Stochastic Superresolution of sparsely observed turbulent systems. - Michal Branicki; Andrew J. Majda (J. Comput. Phys., 2013)

An Information-Theoretic Framework for Improving Imperfect Dynamical Predictions Via Multi-Model Ensemble Forecasts. - Michal Branicki; Andrew J. Majda (J. Nonlinear Sci., 2015)

Path-based measures of expansion rates and Lagrangian transport in stochastic flows. - Michal Branicki; Kenneth Uda (CoRR, 2018)

Accuracy of Some Approximate Gaussian Filters for the Navier-Stokes Equation in the Presence of Model Error. - Michal Branicki; Andrew J. Majda; Kody J. H. Law (Multiscale Model. Simul., 2018)

Lagrangian Uncertainty Quantification and Information Inequalities for Stochastic Flows. - Michal Branicki; Kenneth Uda (SIAM/ASA J. Uncertain. Quantification, 2021)

Seismic Interferometry from Correlated Noise Sources. - Daniella Ayala-Garcia; Andrew Curtis; Michal Branicki (Remote. Sens., 2021)

Path-Based Divergence Rates and Lagrangian Uncertainty in Stochastic Flows. - Michal Branicki; Kenneth Uda (SIAM J. Appl. Dyn. Syst., 2023)