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.
A sparse grid stochastic collocation method for partial differential equations with random input data
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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.