A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines

4 May 2020

Papers citing "A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines"

4 / 4 papers shown

Title
Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines A. Fachechi E. Agliari Miriam Aquaro Anthony Coolen Menno Mulder AI4CE 15 1 0 14 Jun 2024
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models Yizhou Xu Tianqi Hou Shansuo Liang Marco Mondelli 26 4 0 03 Dec 2022
Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization Xinyi Zhong Tianhao Wang Zhou-Yang Fan 29 20 0 05 Oct 2021
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models Sean Plummer D. Pati A. Bhattacharya 38 18 0 13 Jul 2020