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08/27/2023
Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter
The ensemble Gaussian mixture filter (EnGMF) is a powerful filter for hi...
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05/14/2023
Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders
Data-driven reduced order modeling of chaotic dynamics can result in sys...
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12/20/2022
An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter
The ensemble Gaussian mixture filter combines the simplicity and power o...
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10/21/2022
The Model Forest Ensemble Kalman Filter
Traditional data assimilation uses information obtained from the propaga...
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08/16/2022
An optimal sensors-based simulation method for spatiotemporal event detection
Human movements in urban areas are essential for understanding the human...
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07/14/2022
A Meta-learning Formulation of the Autoencoder Problem
A rapidly growing area of research is the use of machine learning approa...
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05/06/2022
Physics-informed neural networks for PDE-constrained optimization and control
A fundamental problem of science is designing optimal control policies t...
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11/27/2021
Ensemble Variational Fokker-Planck Methods for Data Assimilation
Particle flow filters that smoothly transform particles from being sampl...
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11/16/2021
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
The data assimilation procedures used in many operational numerical weat...
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09/20/2021
A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter
Rejuvenation in particle filters is necessary to prevent the collapse of...
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08/27/2021
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder
Reduced order modeling (ROM) is a field of techniques that approximates ...
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02/25/2021
Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders
The multifidelity ensemble Kalman filter aims to combine a full-order mo...
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11/07/2020
A fast time-stepping strategy for ODE systems equipped with a surrogate model
Simulation of complex dynamical systems arising in many applications is ...
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07/01/2020
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates
This work develops a new multifidelity ensemble Kalman filter (MFEnKF) a...
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03/29/2020
An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence
This paper uses a probabilistic approach to analyze the converge of an e...
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02/29/2020
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
Operational Ensemble Kalman Filtering (EnKF) methods rely on model-speci...
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01/14/2019
ODE Test Problems: a MATLAB suite of initial value problems
ODE Test Problems (OTP) is an object-oriented MATLAB package offering a ...
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09/24/2018
