Andrey A. Popov

45 papers C 9Journal 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Downscaling human mobility data based on demographic socioeconomic and commuting characteristics using interpretable machine learning methods. CoRR Yuqin Jiang, Andrey A. Popov, Tianle Duan, Qingchun Li
2025	J	`jnl`	Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks. CoRR Jostein Barry-Straume, Adwait Verulkar, Arash Sarshar, Andrey A. Popov, Adrian Sandu
2025	J	`jnl`	Ensemble variational Fokker-Planck methods for data assimilation. J. Comput. Phys. Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
2025	J	`jnl`	Gaussian Mixture-Based Point Mass Filtering With Applications to Terrain-Relative Navigation. IEEE Trans. Aerosp. Electron. Syst. Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
2025	C	`conf`	Optimal Transport as a Reduction Technique for Deterministic Nonlinear Filtering. FUSION Felipe Giraldo-Grueso, Andrey A. Popov, Uwe D. Hanebeck, Renato Zanetti
2025	J	`jnl`	Updating Gaussian Mixture Weights Using Posterior Estimates. IEEE Trans. Aerosp. Electron. Syst. Dalton Durant, Andrey A. Popov, Renato Zanetti
2024	J	`jnl`	A Sensor-Based Simulation Method for Spatiotemporal Event Detection. ISPRS Int. J. Geo Inf. Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson, Binghu Huang
2024	J	`jnl`	An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter. SIAM J. Sci. Comput. Andrey A. Popov, Renato Zanetti
2024	C	`conf`	Are Non-Gaussian Kernels Suitable for Ensemble Mixture Model Filtering? FUSION Andrey A. Popov, Renato Zanetti
2024	C	`conf`	Burnished Flow Filter. FUSION Rachel Mamich, Kristen Michaelson, Andrey A. Popov, Renato Zanetti
2024	C	`conf`	Gaussian Mixture-Based Point Mass Filtering. FUSION Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
2024	J	`jnl`	Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. CoRR Abhinab Bhattacharjee, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2024	C	`conf`	Particle Flow with a Continuous Formulation of the Nonlinear Measurement Update. FUSION Kristen Michaelson, Andrey A. Popov, Renato Zanetti, Kyle J. DeMars
2024	J	`jnl`	Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks. CoRR Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
2024	J	`jnl`	Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks. J. Aerosp. Inf. Syst. Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
2024	J	`jnl`	Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. CoRR Amit N. Subrahmanya, Andrey A. Popov, Reid Gomillion, Adrian Sandu
2024	J	`jnl`	The Ensemble Epanechnikov Mixture Filter. CoRR Andrey A. Popov, Renato Zanetti
2024	J	`jnl`	What are You Weighting For? Improved Weights for Gaussian Mixture Filtering With Application to Cislunar Orbit Determination. CoRR Dalton Durant, Andrey A. Popov, Renato Zanetti
2024	C	`conf`	What are You Weighting For? Improved Weights for Gaussian Mixture Filtering. FUSION Dalton Durant, Andrey A. Popov, Renato Zanetti
2023	J	`jnl`	Bayesian Recursive Update for Ensemble Kalman Filters. CoRR Kristen Michaelson, Andrey A. Popov, Renato Zanetti
2023	C	`conf`	Ensemble Gaussian Mixture Filtering with Particle-localized Covariances. FUSION Andrey A. Popov, Renato Zanetti
2023	C	`conf`	Ensemble Kalman Filter with Bayesian Recursive Update. FUSION Kristen Michaelson, Andrey A. Popov, Renato Zanetti
2023	J	`jnl`	Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter. CoRR Andrey A. Popov, Renato Zanetti
2023	C	`conf`	Large-Scale Space Object Tracking in a Proliferated LEO Scenario. FUSION Benjamin L. Reifler, Andrey A. Popov, Brandon A. Jones, Renato Zanetti
2023	J	`jnl`	Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders. CoRR Andrey A. Popov, Renato Zanetti
2022	J	`jnl`	A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model. SIAM J. Sci. Comput. Steven B. Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2022	J	`jnl`	A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction. CoRR Andrey A. Popov, Arash Sarshar, Austin Chennault, Adrian Sandu
2022	J	`jnl`	An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter. CoRR Andrey A. Popov, Renato Zanetti
2022	J	`jnl`	An optimal sensors-based simulation method for spatiotemporal event detection. CoRR Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson
2022	—	`—`	Combining Data-driven and Theory-guided Models in Ensemble Data Assimilation. Andrey A. Popov
2022	J	`jnl`	Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders. Frontiers Appl. Math. Stat. Andrey A. Popov, Adrian Sandu
2022	J	`jnl`	Physics-informed neural networks for PDE-constrained optimization and control. CoRR Jostein Barry-Straume, Arash Sarshar, Andrey A. Popov, Adrian Sandu
2022	J	`jnl`	The Model Forest Ensemble Kalman Filter. CoRR Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
2021	J	`jnl`	A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. CoRR Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu
2021	J	`jnl`	Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
2021	J	`jnl`	An Ensemble Variational Fokker-Planck Method for Data Assimilation. CoRR Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. CoRR Rachel Cooper, Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. CoRR Andrey A. Popov, Adrian Sandu
2020	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
2020	J	`jnl`	A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. CoRR Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
2020	J	`jnl`	A fast time-stepping strategy for ODE systems equipped with a surrogate model. CoRR Steven B. Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2020	J	`jnl`	An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. CoRR Andrey A. Popov, Adrian Sandu
2019	J	`jnl`	ODE Test Problems: a MATLAB suite of initial value problems. CoRR Steven B. Roberts, Andrey A. Popov, Adrian Sandu
2018	J	`jnl`	A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. CoRR Andrey A. Popov, Adrian Sandu