Geometric structure of shallow neural networks and constructive ${\mathcal L}^2$ cost minimization

Documenti analoghi

• Geometric structure of Deep Learning networks and construction of global ${\mathcal L}^2$ minimizers
  di: Chen, Thomas, et al.
  Pubblicazione: (2023)
• On non-approximability of zero loss global ${\mathcal L}^2$ minimizers by gradient descent in Deep Learning
  di: Chen, Thomas, et al.
  Pubblicazione: (2023)
• Interpretable global minima of deep ReLU neural networks on sequentially separable data
  di: Chen, Thomas, et al.
  Pubblicazione: (2024)
• Global $\mathcal{L}^2$ minimization at uniform exponential rate via geometrically adapted gradient descent in Deep Learning
  di: Chen, Thomas
  Pubblicazione: (2023)
• Architecture independent generalization bounds for overparametrized deep ReLU networks
  di: Bapu, Anandatheertha, et al.
  Pubblicazione: (2025)