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20232025
most citedAn Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning

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math.OC2025

Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer

Steffen Dereich, Thang Do, Arnulf Jentzen +1

Beside the standard stochastic gradient descent (SGD) method, the Adam optimizer due to Kingma & Ba (2014) is currently probably the best-known optimization method for the training…