Optimal Rates of Approximation by Shallow ReLU^k Neural Networks and Applications to Nonparametric Regression

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  GRF: Approximation Theory of Integral Discretization on High Dimensional Domains

  FENG, H. (Principal Investigator / Project Coordinator)

  1/01/21 → 23/12/24

  Project: Research

  • Neural Network 100%
  • Convolutional Neural Network 81%
  • Deep Neural Network 81%
  • Approximation Theory 60%
  • Dimensional Domain 50%

• GRF: Analysis of Deep CNNs Induced by 2-D Convolutions and Related Approximation Theory Problems

  FENG, H. (Principal Investigator / Project Coordinator)

  1/01/21 → 31/12/24

  Project: Research

  • Convolutional Neural Network 100%
  • Deep Neural Network 66%
  • Approximation Theory 56%
  • Convolution 54%
  • Neural Network 47%