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Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse
  of Dimensionality in Approximation on Hölder Class

Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class

28 February 2021
Yuling Jiao
Yanming Lai
Xiliang Lu
Fengru Wang
J. Yang
Yuanyuan Yang
ArXivPDFHTML

Papers citing "Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class"

1 / 1 papers shown
Title
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
MoE
41
1
0
05 Feb 2024
1