Methods › Computer Vision › Generative Models › Restricted Boltzmann Machine

Restricted Boltzmann Machine

introduced 1986 140 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Restricted Boltzmann Machines, or RBMs, are two-layer generative neural networks that learn a probability distribution over the inputs. They are a special class of Boltzmann Machine in that they have a restricted number of connections between visible and hidden units. Every node in the visible layer is connected to every node in the hidden layer, but no nodes in the same group are connected. RBMs are usually trained using the contrastive divergence learning procedure.

Image Source: here

Papers archive 2025-07-28

30 shown of 140, 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.

Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
23 May 2025 · 1 repository · arXiv:2505.18046
Expressive equivalence of classical and quantum restricted Boltzmann machines
24 Feb 2025 · 0 repositories · arXiv:2502.17562
Random Matrix Theory for Stochastic Gradient Descent
29 Dec 2024 · 0 repositories · arXiv:2412.20496
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions
6 Dec 2024 · 0 repositories · arXiv:2412.04677
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
30 Oct 2024 · 0 repositories · arXiv:2410.22870
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
22 Oct 2024 · 0 repositories · arXiv:2410.16705
A phase transition in sampling from Restricted Boltzmann Machines
10 Oct 2024 · 0 repositories · arXiv:2410.08423
Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine
10 Sep 2024 · 0 repositories · arXiv:2409.06146
Cascade of phase transitions in the training of Energy-based models
23 May 2024 · 0 repositories · arXiv:2405.14689
Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines
17 Apr 2024 · 0 repositories · arXiv:2404.11229
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering
14 Feb 2024 · 0 repositories · arXiv:2402.09167
Image Clustering using Restricted Boltzman Machine
21 Dec 2023 · 0 repositories · arXiv:2312.13845
Solving MaxSAT with Matrix Multiplication
1 Nov 2023 · 0 repositories · arXiv:2311.02101
Inferring effective couplings with Restricted Boltzmann Machines
5 Sep 2023 · 1 repository · arXiv:2309.02292
Neural-network quantum state study of the long-range antiferromagnetic Ising chain
18 Aug 2023 · 0 repositories · arXiv:2308.09709
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics
13 Jul 2023 · 2 repositories · arXiv:2307.06797
Structural Restricted Boltzmann Machine for image denoising and classification
16 Jun 2023 · 0 repositories · arXiv:2306.09628
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
22 Mar 2023 · 0 repositories · arXiv:2303.12302
Training Deep Boltzmann Networks with Sparse Ising Machines
19 Mar 2023 · 0 repositories · arXiv:2303.10728
Tradeoff of generalization error in unsupervised learning
10 Mar 2023 · 0 repositories · arXiv:2303.05718
Generating Accurate Virtual Examples For Lifelong Machine Learning
28 Feb 2023 · 0 repositories · arXiv:2302.14712
Unsupervised hierarchical clustering using the learning dynamics of RBMs
3 Feb 2023 · 1 repository · arXiv:2302.01851
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
1 Feb 2023 · 0 repositories · arXiv:2302.00788
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines
7 Dec 2022 · 0 repositories · arXiv:2212.03374
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer
27 Oct 2022 · 0 repositories · arXiv:2210.15434
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
20 Jul 2022 · 0 repositories · arXiv:2208.12564
Pattern reconstruction with restricted Boltzmann machines
14 May 2022 · 0 repositories · arXiv:2205.07087
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
13 May 2022 · 0 repositories · arXiv:2205.06697
Supervised Hebbian Learning
2 Mar 2022 · 0 repositories · arXiv:2203.01304
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs
13 Dec 2021 · 1 repository · arXiv:2112.06431

Tasks archive 2025-07-28

20 shown of 97 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
BIG-bench Machine Learning	9
General Classification	9
Time Series	7
Clustering	6
Time Series Analysis	6
Classification	5
Representation Learning	5
Deep Learning	4
Denoising	4
Dimensionality Reduction	4
Anomaly Detection	3
CPU	3
Form	3
GPU	3
Music Generation	3
Retrieval	3
Collaborative Filtering	2
Combinatorial Optimization	2
Dictionary Learning	2
Diversity	2

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (140 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Generative Models

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections