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ORCIDMichal Branicki
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2020 – today
- 2023
[j7]Michal Branicki, Kenneth Uda:
Path-Based Divergence Rates and Lagrangian Uncertainty in Stochastic Flows. SIAM J. Appl. Dyn. Syst. 22(1): 419-482 (2023)- 2021
- [j6]Michal Branicki
, Kenneth Uda:
Lagrangian Uncertainty Quantification and Information Inequalities for Stochastic Flows. SIAM/ASA J. Uncertain. Quantification 9(3): 1242-1313 (2021) - [j5]Daniella Ayala-Garcia, Andrew Curtis, Michal Branicki:
Seismic Interferometry from Correlated Noise Sources. Remote. Sens. 13(14): 2703 (2021)
2010 – 2019
- 2019
- [i2]Michal Branicki, Kenneth Uda:
Lagrangian uncertainty quantification and information inequalities for stochastic flows. CoRR abs/1905.08707 (2019) - 2018
- [j4]Michal Branicki, Andrew J. Majda, Kody J. H. Law:
Accuracy of Some Approximate Gaussian Filters for the Navier-Stokes Equation in the Presence of Model Error. Multiscale Model. Simul. 16(4): 1756-1794 (2018) - [i1]Michal Branicki, Kenneth Uda:
Path-based measures of expansion rates and Lagrangian transport in stochastic flows. CoRR abs/1810.07567 (2018) - 2015
- [j3]Michal Branicki, Andrew J. Majda:
An Information-Theoretic Framework for Improving Imperfect Dynamical Predictions Via Multi-Model Ensemble Forecasts. J. Nonlinear Sci. 25(3): 489-538 (2015) - 2013
- [j2]Michal Branicki, Andrew J. Majda:
Dynamic Stochastic Superresolution of sparsely observed turbulent systems. J. Comput. Phys. 241: 333-363 (2013) - 2012
- [j1]Michal Branicki, Boris Gershgorin, Andrew J. Majda:
Filtering skill for turbulent signals for a suite of nonlinear and linear extended Kalman filters. J. Comput. Phys. 231(4): 1462-1498 (2012)
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