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Adversarial Training Using Feedback Loops
A neural network architecture that incorporates feedback control, named Feedback Neural Networks, is proposed.
Neural Network Reduction with Guided Regularizers
Regularization techniques such as $\mathcal{L}_1$ and $\mathcal{L}_2$ regularizers are effective in sparsifying neural networks (NNs).
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
Surrogates constructed using adjoint information demonstrate superior performance on the 4D-Var data assimilation problem compared to a standard neural network surrogate that uses only forward dynamics information.
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