Andrey A. Popov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Kernel Density Estimation

Top Venues

SIAM J. Sci. Comput.

ISPRS Int. J. Geo Inf.

Publications

Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks. CoRR (2024)
Amit N. Subrahmanya, Andrey A. Popov, Reid Gomillion, Adrian Sandu
Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. CoRR (2024)
Andrey A. Popov, Renato Zanetti
An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter. SIAM J. Sci. Comput. 46 (3) (2024)
Dalton Durant, Andrey A. Popov, Renato Zanetti
What are You Weighting For? Improved Weights for Gaussian Mixture Filtering With Application to Cislunar Orbit Determination. CoRR (2024)
Abhinab Bhattacharjee, Andrey A. Popov, Arash Sarshar, Adrian Sandu
Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. CoRR (2024)
Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson, Binghu Huang
A Sensor-Based Simulation Method for Spatiotemporal Event Detection. ISPRS Int. J. Geo Inf. 13 (5) (2024)
Kristen Michaelson, Andrey A. Popov, Renato Zanetti
Bayesian Recursive Update for Ensemble Kalman Filters. CoRR (2023)
Benjamin L. Reifler, Andrey A. Popov, Brandon A. Jones, Renato Zanetti
Large-Scale Space Object Tracking in a Proliferated LEO Scenario. FUSION (2023)
Andrey A. Popov, Renato Zanetti
Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter. CoRR (2023)
Andrey A. Popov, Renato Zanetti
Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders. CoRR (2023)
Kristen Michaelson, Andrey A. Popov, Renato Zanetti
Ensemble Kalman Filter with Bayesian Recursive Update. FUSION (2023)
Andrey A. Popov, Renato Zanetti
Ensemble Gaussian Mixture Filtering with Particle-localized Covariances. FUSION (2023)
Andrey A. Popov, Adrian Sandu
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders. Frontiers Appl. Math. Stat. 8 (2022)
Andrey A. Popov, Adrian Sandu
The Model Forest Ensemble Kalman Filter. CoRR (2022)
Steven Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model. SIAM J. Sci. Comput. 44 (3) (2022)
Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson
An optimal sensors-based simulation method for spatiotemporal event detection. CoRR (2022)
Andrey A. Popov, Arash Sarshar, Austin Chennault, Adrian Sandu
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction. CoRR (2022)
Jostein Barry-Straume, Arash Sarshar, Andrey A. Popov, Adrian Sandu
Physics-informed neural networks for PDE-constrained optimization and control. CoRR (2022)
Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
An Ensemble Variational Fokker-Planck Method for Data Assimilation. CoRR (2021)
Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR (2021)
Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. 43 (2) (2021)
Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu
A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. CoRR (2021)
Rachel Cooper, Andrey A. Popov, Adrian Sandu
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. CoRR (2021)
Andrey A. Popov, Adrian Sandu
Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. CoRR (2021)
Andrey A. Popov, Adrian Sandu
An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. CoRR (2020)
Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. CoRR (2020)
Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR (2020)
Steven Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
A fast time-stepping strategy for ODE systems equipped with a surrogate model. CoRR (2020)
Steven Roberts, Andrey A. Popov, Adrian Sandu
ODE Test Problems: a MATLAB suite of initial value problems. CoRR (2019)
Andrey A. Popov, Adrian Sandu
A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. CoRR (2018)