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Found 2 papers, 1 papers with code
FourCastNeXt: Optimizing FourCastNet Training for Limited Compute
FourCastNeXt is an optimization of FourCastNet - a global machine learning weather forecasting model - that performs with a comparable level of accuracy and can be trained using around 5% of the original FourCastNet computational requirements.
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization
Some recent works in machine learning and computer vision involve the solution of a bi-level optimization problem.
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