Andrey A. Popov

Arash Sarshar

CoRR, 2024

Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks.

[BibT_eX]

[DOI]

Felipe Giraldo-Grueso

CoRR, 2024

2023

Bayesian Recursive Update for Ensemble Kalman Filters.

[BibT_eX]

[DOI]

Kristen Michaelson

CoRR, 2023

Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter.

[BibT_eX]

[DOI]

CoRR, 2023

Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2023

Large-Scale Space Object Tracking in a Proliferated LEO Scenario.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Information Fusion, 2023

Ensemble Gaussian Mixture Filtering with Particle-localized Covariances.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Information Fusion, 2023

Ensemble Kalman Filter with Bayesian Recursive Update.

[BibT_eX]

[DOI]

Kristen Michaelson

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2022

Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders.

[BibT_eX]

[DOI]

Frontiers Appl. Math. Stat., 2022

An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter.

[BibT_eX]

[DOI]

CoRR, 2022

The Model Forest Ensemble Kalman Filter.

[BibT_eX]

[DOI]

CoRR, 2022

An optimal sensors-based simulation method for spatiotemporal event detection.

[BibT_eX]

[DOI]

CoRR, 2022

A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-informed neural networks for PDE-constrained optimization and control.

[BibT_eX]

[DOI]

Jostein Barry-Straume

Arash Sarshar

CoRR, 2022

2021

A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2021

An Ensemble Variational Fokker-Planck Method for Data Assimilation.

[BibT_eX]

[DOI]

Amit N. Subrahmanya

CoRR, 2021

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation.

[BibT_eX]

[DOI]

CoRR, 2021

A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter.

[BibT_eX]

[DOI]

Amit N. Subrahmanya

CoRR, 2021

Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder.

[BibT_eX]

[DOI]

Rachel Cooper

CoRR, 2021

Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A fast time-stepping strategy for ODE systems equipped with a surrogate model.

[BibT_eX]

[DOI]

CoRR, 2020

An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence.

[BibT_eX]

[DOI]

CoRR, 2020

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering.

[BibT_eX]

[DOI]

Elias David Niño Ruiz

Geir Evensen

CoRR, 2020

2019

ODE Test Problems: a MATLAB suite of initial value problems.

[BibT_eX]

[DOI]

Steven Roberts

CoRR, 2019

2018

A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions.

[BibT_eX]

[DOI]