185 related articles for article (PubMed ID: 28950564)
1. Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders.
Wetzel SJ
Phys Rev E; 2017 Aug; 96(2-1):022140. PubMed ID: 28950564
[TBL] [Abstract][Full Text] [Related]
2. Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination.
Hu W; Singh RRP; Scalettar RT
Phys Rev E; 2017 Jun; 95(6-1):062122. PubMed ID: 28709189
[TBL] [Abstract][Full Text] [Related]
3. Recognition of polymer configurations by unsupervised learning.
Xu X; Wei Q; Li H; Wang Y; Chen Y; Jiang Y
Phys Rev E; 2019 Apr; 99(4-1):043307. PubMed ID: 31108670
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised machine learning account of magnetic transitions in the Hubbard model.
Ch'ng K; Vazquez N; Khatami E
Phys Rev E; 2018 Jan; 97(1-1):013306. PubMed ID: 29448449
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Complex-valued autoencoders.
Baldi P; Lu Z
Neural Netw; 2012 Sep; 33():136-47. PubMed ID: 22622264
[TBL] [Abstract][Full Text] [Related]
7. Confusion scheme in machine learning detects double phase transitions and quasi-long-range order.
Lee SS; Kim BJ
Phys Rev E; 2019 Apr; 99(4-1):043308. PubMed ID: 31108697
[TBL] [Abstract][Full Text] [Related]
8. Unsupervised pathology detection in medical images using conditional variational autoencoders.
Uzunova H; Schultz S; Handels H; Ehrhardt J
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):451-461. PubMed ID: 30542975
[TBL] [Abstract][Full Text] [Related]
9. Machine learning of phase transitions in the percolation and XY models.
Zhang W; Liu J; Wei TC
Phys Rev E; 2019 Mar; 99(3-1):032142. PubMed ID: 30999394
[TBL] [Abstract][Full Text] [Related]
10. Deep Mixture Generative Autoencoders.
Ye F; Bors AG
IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5789-5803. PubMed ID: 33872161
[TBL] [Abstract][Full Text] [Related]
11. Achieving deep clustering through the use of variational autoencoders and similarity-based loss.
Ma H
Math Biosci Eng; 2022 Jul; 19(10):10344-10360. PubMed ID: 36031997
[TBL] [Abstract][Full Text] [Related]
12. Variational autoencoders learn transferrable representations of metabolomics data.
Gomari DP; Schweickart A; Cerchietti L; Paietta E; Fernandez H; Al-Amin H; Suhre K; Krumsiek J
Commun Biol; 2022 Jun; 5(1):645. PubMed ID: 35773471
[TBL] [Abstract][Full Text] [Related]
13. Application of the variational autoencoder to detect the critical points of the anisotropic Ising model.
Baul A; Walker N; Moreno J; Tam KM
Phys Rev E; 2023 Apr; 107(4-2):045301. PubMed ID: 37198781
[TBL] [Abstract][Full Text] [Related]
14. Learning Efficient, Collective Monte Carlo Moves with Variational Autoencoders.
Monroe JI; Shen VK
J Chem Theory Comput; 2022 Jun; 18(6):3622-3636. PubMed ID: 35613327
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised machine learning for detection of phase transitions in off-lattice systems. I. Foundations.
Jadrich RB; Lindquist BA; Truskett TM
J Chem Phys; 2018 Nov; 149(19):194109. PubMed ID: 30466285
[TBL] [Abstract][Full Text] [Related]
16. Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints.
Lovrić M; Đuričić T; Tran HTN; Hussain H; Lacić E; Rasmussen MA; Kern R
Pharmaceuticals (Basel); 2021 Aug; 14(8):. PubMed ID: 34451855
[TBL] [Abstract][Full Text] [Related]
17. BRAIN LESION DETECTION USING A ROBUST VARIATIONAL AUTOENCODER AND TRANSFER LEARNING.
Akrami H; Joshi AA; Li J; Aydore S; Leahy RM
Proc IEEE Int Symp Biomed Imaging; 2020 Apr; 2020():786-790. PubMed ID: 33500750
[TBL] [Abstract][Full Text] [Related]
18. Information Flows of Diverse Autoencoders.
Lee S; Jo J
Entropy (Basel); 2021 Jul; 23(7):. PubMed ID: 34356403
[TBL] [Abstract][Full Text] [Related]
19. Variational AutoEncoder For Regression: Application to Brain Aging Analysis.
Zhao Q; Adeli E; Honnorat N; Leng T; Pohl KM
Med Image Comput Comput Assist Interv; 2019 Oct; 11765():823-831. PubMed ID: 32705091
[TBL] [Abstract][Full Text] [Related]
20. Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations.
Way GP; Zietz M; Rubinetti V; Himmelstein DS; Greene CS
Genome Biol; 2020 May; 21(1):109. PubMed ID: 32393369
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]