Methods › Computer Vision › Generative Models › Deep Boltzmann Machine
Deep Boltzmann Machine
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Deep Boltzmann Machine (DBM) is a three-layer generative model. It is similar to a Deep Belief Network, but instead allows bidirectional connections in the bottom layers. Its energy function is as an extension of the energy function of the RBM:
E(v, h) = -∑ⁱᵢvᵢbᵢ - ∑ᴺₙ₌₁∑ₖh_(n,k)b_(n,k)-∑_(i, k)vᵢwᵢₖhₖ - ∑ᴺ⁻¹ₙ₌₁∑_(k,l)h_(n,k)w_(n, k, l)h_(n+1, l)
for a DBM with N hidden layers.
Source: On the Origin of Deep Learning
Papers archive 2025-07-28
14 shown of 14, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Mode-Assisted Joint Training of Deep Boltzmann Machines 17 Feb 2021 · 0 repositories · arXiv:2102.08562
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Learnability and Complexity of Quantum Samples 22 Oct 2020 · 1 repository · arXiv:2010.11983
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Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine 25 Jun 2019 · 0 repositories · arXiv:1906.10592
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A Tour of Unsupervised Deep Learning for Medical Image Analysis 19 Dec 2018 · 0 repositories · arXiv:1812.07715
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Reinforcement Learning Using Quantum Boltzmann Machines 17 Dec 2016 · 0 repositories · arXiv:1612.05695
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GSNs : Generative Stochastic Networks 18 Mar 2015 · 0 repositories · arXiv:1503.05571
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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data 13 Sep 2014 · 0 repositories · arXiv:1409.3970
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Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines 20 Dec 2013 · 0 repositories · arXiv:1312.6108
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Multi-Prediction Deep Boltzmann Machines 1 Dec 2013 · 0 repositories
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Modeling Documents with Deep Boltzmann Machines 26 Sep 2013 · 0 repositories · arXiv:1309.6865
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Multimodal Learning with Deep Boltzmann Machines 1 Dec 2012 · 0 repositories
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Learning to Learn with Compound HD Models 1 Dec 2011 · 0 repositories
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Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability 1 Dec 2011 · 0 repositories
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Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model 1 Dec 2010 · 0 repositories
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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