The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks

Documenti analoghi

• On the Geometry and Optimization of Polynomial Convolutional Networks
  di: Shahverdi, Vahid, et al.
  Pubblicazione: (2024)
• Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
  di: Kohn, Kathlén, et al.
  Pubblicazione: (2023)
• Geometry of Lightning Self-Attention: Identifiability and Dimension
  di: Henry, Nathan W., et al.
  Pubblicazione: (2024)
• Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks
  di: Shahverdi, Vahid, et al.
  Pubblicazione: (2025)
• Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
  di: Marchetti, Giovanni Luca, et al.
  Pubblicazione: (2025)