142 related articles for article (PubMed ID: 33601535)
1. Exact representations of many-body interactions with restricted-Boltzmann-machine neural networks.
Rrapaj E; Roggero A
Phys Rev E; 2021 Jan; 103(1-1):013302. PubMed ID: 33601535
[TBL] [Abstract][Full Text] [Related]
2. Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins.
Tubiana J; Cocco S; Monasson R
Neural Comput; 2019 Aug; 31(8):1671-1717. PubMed ID: 31260391
[TBL] [Abstract][Full Text] [Related]
3. Representational power of restricted boltzmann machines and deep belief networks.
Le Roux N; Bengio Y
Neural Comput; 2008 Jun; 20(6):1631-49. PubMed ID: 18254699
[TBL] [Abstract][Full Text] [Related]
4. Helping restricted Boltzmann machines with quantum-state representation by restoring symmetry.
Nomura Y
J Phys Condens Matter; 2021 Apr; 33(17):. PubMed ID: 33530063
[TBL] [Abstract][Full Text] [Related]
5. Simulating disordered quantum Ising chains via dense and sparse restricted Boltzmann machines.
Pilati S; Pieri P
Phys Rev E; 2020 Jun; 101(6-1):063308. PubMed ID: 32688495
[TBL] [Abstract][Full Text] [Related]
6. Nonequilibrium thermodynamics of restricted Boltzmann machines.
Salazar DSP
Phys Rev E; 2017 Aug; 96(2-1):022131. PubMed ID: 28950614
[TBL] [Abstract][Full Text] [Related]
7. Expected energy-based restricted Boltzmann machine for classification.
Elfwing S; Uchibe E; Doya K
Neural Netw; 2015 Apr; 64():29-38. PubMed ID: 25318375
[TBL] [Abstract][Full Text] [Related]
8. Emergence of Compositional Representations in Restricted Boltzmann Machines.
Tubiana J; Monasson R
Phys Rev Lett; 2017 Mar; 118(13):138301. PubMed ID: 28409983
[TBL] [Abstract][Full Text] [Related]
9. Where do features come from?
Hinton G
Cogn Sci; 2014 Aug; 38(6):1078-101. PubMed ID: 23800216
[TBL] [Abstract][Full Text] [Related]
10. Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines.
Gu J; Zhang K
Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554106
[TBL] [Abstract][Full Text] [Related]
11. Constructing exact representations of quantum many-body systems with deep neural networks.
Carleo G; Nomura Y; Imada M
Nat Commun; 2018 Dec; 9(1):5322. PubMed ID: 30552316
[TBL] [Abstract][Full Text] [Related]
12. Barriers and dynamical paths in alternating Gibbs sampling of restricted Boltzmann machines.
Roussel C; Cocco S; Monasson R
Phys Rev E; 2021 Sep; 104(3-1):034109. PubMed ID: 34654094
[TBL] [Abstract][Full Text] [Related]
13. Tensor networks for unsupervised machine learning.
Liu J; Li S; Zhang J; Zhang P
Phys Rev E; 2023 Jan; 107(1):L012103. PubMed ID: 36797922
[TBL] [Abstract][Full Text] [Related]
14. Adaptive hyperparameter updating for training restricted Boltzmann machines on quantum annealers.
Xu G; Oates WS
Sci Rep; 2021 Feb; 11(1):2727. PubMed ID: 33526868
[TBL] [Abstract][Full Text] [Related]
15. Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers.
Liu J; Yao KT; Spedalieri F
Entropy (Basel); 2020 Oct; 22(11):. PubMed ID: 33286970
[TBL] [Abstract][Full Text] [Related]
16. Deep Restricted Kernel Machines Using Conjugate Feature Duality.
Suykens JAK
Neural Comput; 2017 Aug; 29(8):2123-2163. PubMed ID: 28562217
[TBL] [Abstract][Full Text] [Related]
17. The Capabilities of Boltzmann Machines to Detect and Reconstruct Ising System's Configurations from a Given Temperature.
Valle MA
Entropy (Basel); 2023 Dec; 25(12):. PubMed ID: 38136529
[TBL] [Abstract][Full Text] [Related]
18. Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
Berglund M; Raiko T; Cho K
Neural Netw; 2015 Apr; 64():12-8. PubMed ID: 25318376
[TBL] [Abstract][Full Text] [Related]
19. Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer.
Koshka Y; Perera D; Hall S; Novotny MA
Neural Comput; 2017 Jul; 29(7):1815-1837. PubMed ID: 28562219
[TBL] [Abstract][Full Text] [Related]
20. On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions.
Gu L; Huang J; Yang L
IEEE Trans Neural Netw Learn Syst; 2019 May; 30(5):1335-1347. PubMed ID: 30281484
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
