PhaseShift - Phase Space Foundations for Scientific Machine Learning
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Contract Description
Science and engineering have long relied on interpretable, parsimonious models of signals and systems. Today there is a shift to highly-parameterized neural networks trained on massive datasets. This often makes it hard to understand what is taken from physics and what from...