Restricted Boltzmann Machine, recent advances and mean-field theory

23 November 2020

Papers citing "Restricted Boltzmann Machine, recent advances and mean-field theory"

10 / 10 papers shown

Title
Dataset-Free Weight-Initialization on Restricted Boltzmann Machine Muneki Yasuda Ryosuke Maeno Chako Takahashi 72 0 0 17 Jan 2025
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 42 4 0 23 May 2024
Unsupervised hierarchical clustering using the learning dynamics of RBMs A. Decelle Lorenzo Rosset Beatriz Seoane 11 5 0 03 Feb 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 17 10 0 23 Jan 2023
Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines A. C. N. D. Oliveira Daniel R. Figueiredo 22 0 0 14 Sep 2022
Free Energy Evaluation Using Marginalized Annealed Importance Sampling Muneki Yasuda Chako Takahashi 11 5 0 08 Apr 2022
Composite Spatial Monte Carlo Integration Based on Generalized Least Squares Kaiji Sekimoto Muneki Yasuda 11 0 0 07 Apr 2022
Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines C. Roussel Simona Cocco R. Monasson AI4CE 29 14 0 13 Jul 2021
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting Yuuki Yokoyama Tomu Katsumata Muneki Yasuda 46 9 0 30 Nov 2018
Advanced Mean Field Theory of Restricted Boltzmann Machine Haiping Huang Taro Toyoizumi 42 34 0 01 Feb 2015