Ngā tūemi rite

• Inference in Spreading Processes with Neural-Network Priors
  mā: Ghio, Davide, me ētahi atu.
  I whakaputaina: (2025)
• Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds
  mā: Troiani, Emanuele, me ētahi atu.
  I whakaputaina: (2025)
• The committee machine: Computational to statistical gaps in learning a two-layers neural network
  mā: Aubin, Benjamin, me ētahi atu.
  I whakaputaina: (2018)
• Asymptotics of feature learning in two-layer networks after one gradient-step
  mā: Cui, Hugo, me ētahi atu.
  I whakaputaina: (2024)
• Fundamental computational limits of weak learnability in high-dimensional multi-index models
  mā: Troiani, Emanuele, me ētahi atu.
  I whakaputaina: (2024)