All Stories

  1. Fundamental limits of overparametrized shallow neural networks for supervised learning
  2. Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance
  3. On the Phase Diagram of the Multiscale Mean-Field Spin-Glass
  4. Limit Theorems for the Non-Convex Multispecies Curie–Weiss Model
  5. Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
  6. Central limit theorem for the overlaps in mean-field spin glasses on the Nishimori line
  7. The decimation scheme for symmetric matrix factorization
  8. The Onset of Parisi’s Complexity in a Mismatched Inference Problem
  9. Performance limits of Principal Components Analysis for large structured data sets.
  10. Matrix factorization with neural networks
  11. An inference problem in a mismatched setting: a spin-glass model with Mattis interaction
  12. A Statistical Physics approach to a multi-channel Wigner spiked model
  13. The Solution of the Deep Boltzmann Machine on the Nishimori Line
  14. The Multi-species Mean-Field Spin-Glass on the Nishimori Line