Fundamental computational limits of weak learnability in high-dimensional multi-index models

Ähnliche Einträge

• Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds
  von: Troiani, Emanuele, et al.
  Veröffentlicht: (2025)
• Optimal Spectral Transitions in High-Dimensional Multi-Index Models
  von: Defilippis, Leonardo, et al.
  Veröffentlicht: (2025)
• Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
  von: Ghio, Davide, et al.
  Veröffentlicht: (2023)
• Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
  von: Defilippis, Leonardo, et al.
  Veröffentlicht: (2025)
• Asymptotics of feature learning in two-layer networks after one gradient-step
  von: Cui, Hugo, et al.
  Veröffentlicht: (2024)