Restricted Boltzmann Machines: Introduction and Review

19 June 2018

Papers citing "Restricted Boltzmann Machines: Introduction and Review"

19 / 19 papers shown

Title
AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Aman Raj Lakshit Arora Sanjay Surendranath Girija Shashank Kapoor Dipen Pradhan Ankit Shetgaonkar 24 0 0 13 May 2025
Dynamic neurons: A statistical physics approach for analyzing deep neural networks Donghee Lee Hye-Sung Lee Jaeok Yi 21 1 0 01 Oct 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines Daniëlle Schuman Leo Sünkel Philipp Altmann Jonas Stein Christoph Roch Thomas Gabor Claudia Linnhoff-Popien 13 3 0 27 Nov 2023
Identifiability of Product of Experts Models Spencer Gordon Manav Kant Eric Y. Ma Leonard J. Schulman Andrei C. Staicu MoE 11 2 0 13 Oct 2023
Hadamard-Hitchcock decompositions: identifiability and computation A. Oneto N. Vannieuwenhoven CML 20 3 0 12 Aug 2023
Structural Restricted Boltzmann Machine for image denoising and classification Arkaitz Bidaurrazaga A. Pérez Roberto Santana AI4CE 20 0 0 16 Jun 2023
Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines Lennart Dabelow Masahito Ueda 33 10 0 02 Sep 2022
Quantitative Universal Approximation Bounds for Deep Belief Networks J. Sieber Johann Gehringer 30 1 0 18 Aug 2022
Machine Learning in Aerodynamic Shape Optimization Ji-chao Li Xiaosong Du J. Martins AI4CE 21 185 0 15 Feb 2022
Towards sampling complex actions Lukas Kades M. Gärttner T. Gasenzer J. Pawlowski AI4CE 16 4 0 17 Jun 2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines A. Decelle Cyril Furtlehner Beatriz Seoane 6 26 0 28 May 2021
Restricted Boltzmann Machine, recent advances and mean-field theory A. Decelle Cyril Furtlehner AI4CE 9 54 0 23 Nov 2020
$α$ Belief Propagation for Approximate Inference Dong Liu Minh Thành Vu Zuxing Li L. Rasmussen 13 0 0 27 Jun 2020
Stochastic Feedforward Neural Networks: Universal Approximation Thomas Merkh Guido Montúfar 17 8 0 22 Oct 2019
$α$ Belief Propagation as Fully Factorized Approximation Dong Liu N. N. Moghadam L. Rasmussen Jinliang Huang S. Chatterjee 23 3 0 23 Aug 2019
A Riemanian Approach to Blob Detection in Manifold-Valued Images Aleksei Shestov Mikhail Kumskov 49 24 0 31 May 2019
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates V. Upadhya P. Sastry 21 2 0 25 Oct 2018
Geometry of the restricted Boltzmann machine M. Cueto Jason Morton Bernd Sturmfels 58 82 0 30 Aug 2009