Stable formulations and numerical discretizations of loss functions for generative AI with applications to model reduction
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Artificial intelligence is increasingly used to model complex scientific and engineering systems. Maintaining leadership in this area over the long term depends not only on larger models and more data but also on mathematical methods to enhance training and to make training more stable, reproducible, and mathematically well-founded. This project…
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