Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective

Documenti analoghi

• Inference in Spreading Processes with Neural-Network Priors
  di: Ghio, Davide, et al.
  Pubblicazione: (2025)
• Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds
  di: Troiani, Emanuele, et al.
  Pubblicazione: (2025)
• The committee machine: Computational to statistical gaps in learning a two-layers neural network
  di: Aubin, Benjamin, et al.
  Pubblicazione: (2018)
• Asymptotics of feature learning in two-layer networks after one gradient-step
  di: Cui, Hugo, et al.
  Pubblicazione: (2024)
• The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
  di: Biazzo, Indaco
  Pubblicazione: (2023)