A Deterministic and Generalized Framework for Unsupervised Learning with
Restricted Boltzmann Machines

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A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines

10 February 2017

Marylou Gabrié

Florent Krzakala

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Papers citing "A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines"

16 / 16 papers shown

Title
Inferring effective couplings with Restricted Boltzmann Machines A. Decelle Cyril Furtlehner Alfonso De Jesus Navas Gómez Beatriz Seoane AI4CE 82 6 0 05 Sep 2023
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics A. Carbone A. Decelle Lorenzo Rosset Beatriz Seoane SyDa 105 4 0 13 Jul 2023
Unsupervised hierarchical clustering using the learning dynamics of RBMs A. Decelle Lorenzo Rosset Beatriz Seoane 88 5 0 03 Feb 2023
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing Chunyan Zeng Jiaxiang Ye Zhifeng Wang Nan Zhao Minghu Wu AI4TS 43 2 0 11 Nov 2022
Privacy-preserving machine learning with tensor networks Alejandro Pozas-Kerstjens Senaida Hernández Santana José Ramón Pareja Monturiol Marco Castrillón López G. Scarpa Carlos E. González-Guillén David Pérez-García 32 6 0 24 Feb 2022
Restricted Boltzmann Machine, recent advances and mean-field theory A. Decelle Cyril Furtlehner AI4CE 64 56 0 23 Nov 2020
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines Burak Çakmak Manfred Opper AI4CE 49 11 0 04 May 2020
Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach Burak Çakmak Manfred Opper 41 4 0 14 Jan 2020
Mean-field inference methods for neural networks Marylou Gabrié AI4CE 122 33 0 03 Nov 2019
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins J. Tubiana Simona Cocco R. Monasson 48 28 0 18 Feb 2019
Memory-free dynamics for the TAP equations of Ising models with arbitrary rotation invariant ensembles of random coupling matrices Burak Çakmak Manfred Opper 75 20 0 24 Jan 2019
A Simple Algorithm for Scalable Monte Carlo Inference A. Borisenko M. Byshkin Alessandro Lomi 13 10 0 02 Jan 2019
Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning S. Paul Sourya Roy Amit K. Roy-Chowdhury SSL 29 1 0 06 Aug 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 133 883 0 23 Mar 2018
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics A. Decelle G. Fissore Cyril Furtlehner AI4CE 99 44 0 05 Mar 2018
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 91 286 0 21 Apr 2017