Samankaltaisia teoksia

• Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations
  Tekijä: Ackermann, Julia, et al.
  Julkaistu: (2024)
• Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation
  Tekijä: Do, Thang, et al.
  Julkaistu: (2024)
• An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
  Tekijä: Gillis, Nicolas, et al.
  Julkaistu: (2025)
• Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in $L^p$-sense
  Tekijä: Neufeld, Ariel, et al.
  Julkaistu: (2024)
• On the growth of the parameters of approximating ReLU neural networks
  Tekijä: Morina, Erion, et al.
  Julkaistu: (2024)