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09/05/2023
A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations
Ensemble transform Kalman filtering (ETKF) data assimilation is often us...
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08/14/2023
Adaptive Tracking of a Single-Rigid-Body Character in Various Environments
Since the introduction of DeepMimic [Peng et al. 2018], subsequent resea...
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07/19/2023
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
Regularization promotes well-posedness in solving an inverse problem wit...
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11/25/2022
Designing Neural Networks for Hyperbolic Conservation Laws
We propose a new data-driven method to learn the dynamics of an unknown ...
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06/21/2022
Improving numerical accuracy for the viscous-plastic formulation of sea ice
Accurate modeling of sea ice dynamics is critical for predicting environ...
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06/04/2022
A Neural Network Approach for Homogenization of Multiscale Problems
We propose a neural network-based approach to the homogenization of mult...
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12/02/2021
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks
The Neural network-based approach to solving partial differential equati...
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08/03/2021
Inhomogenous Regularization with Limited and Indirect Data
For an ill-posed inverse problem, particularly with incomplete and limit...
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05/24/2021
Sampling error correction in ensemble Kalman inversion
Ensemble Kalman inversion is a parallelizable derivative-free method to ...
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09/08/2020
l_p regularization for ensemble Kalman inversion
Ensemble Kalman inversion (EKI) is a derivative-free optimization method...
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07/30/2020