ChebNet builds stable deep RePU networks via hierarchical Chebyshev approximations in the frequency domain, matching power-series approximation quality while improving stability and enabling fine-tuning.
Solving the Schroedinger equation using Smolyak interpolants
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ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations
ChebNet builds stable deep RePU networks via hierarchical Chebyshev approximations in the frequency domain, matching power-series approximation quality while improving stability and enabling fine-tuning.