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MaLGa Center, DIBRIS, Universit脿 degli Studi di Genova, Genoa, Italy
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PIKS achieves universal consistency for physics-informed learning, outperforming traditional methods while maintaining analytical tractability.
Norm-constrained deep networks can dodge the curse of dimensionality when learning compositional functions, unlocking efficient learning even in overparameterized regimes.
