These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

102 related articles for article (PubMed ID: 37329783)

  • 1. Stable invariant models via Koopman spectra.
    Konishi T; Kawahara Y
    Neural Netw; 2023 Aug; 165():393-405. PubMed ID: 37329783
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control.
    Brunton SL; Brunton BW; Proctor JL; Kutz JN
    PLoS One; 2016; 11(2):e0150171. PubMed ID: 26919740
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Koopman and Perron-Frobenius operators on reproducing kernel Banach spaces.
    Ikeda M; Ishikawa I; Schlosser C
    Chaos; 2022 Dec; 32(12):123143. PubMed ID: 36587322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator.
    Gallos IK; Lehmberg D; Dietrich F; Siettos C
    Chaos; 2024 Jan; 34(1):. PubMed ID: 38285718
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extended Dynamic Mode Decomposition with Invertible Dictionary Learning.
    Jin Y; Hou L; Zhong S
    Neural Netw; 2024 May; 173():106177. PubMed ID: 38382398
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning for Koopman Operator Optimal Control.
    Al-Gabalawy M
    ISA Trans; 2021 Jan; ():. PubMed ID: 33431116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach.
    Wang M; Lou X; Wu W; Cui B
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3630-3639. PubMed ID: 35969545
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables.
    Fujii K; Kawahara Y
    Neural Netw; 2019 Sep; 117():94-103. PubMed ID: 31132607
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning Invariant Representations from EEG via Adversarial Inference.
    Özdenizci O; Wang YE; Koike-Akino T; ErdoĞmuŞ D
    IEEE Access; 2020; 8():27074-27085. PubMed ID: 33747669
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ISOKANN: Invariant subspaces of Koopman operators learned by a neural network.
    Rabben RJ; Ray S; Weber M
    J Chem Phys; 2020 Sep; 153(11):114109. PubMed ID: 32962364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator.
    Bakhtiaridoust M; Yadegar M; Meskin N
    ISA Trans; 2023 Mar; 134():200-211. PubMed ID: 36127184
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learn to Predict Sets Using Feed-Forward Neural Networks.
    Rezatofighi H; Zhu T; Kaskman R; Motlagh FT; Shi JQ; Milan A; Cremers D; Leal-Taixe L; Reid I
    IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):9011-9025. PubMed ID: 34705634
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A scale-invariant internal representation of time.
    Shankar KH; Howard MW
    Neural Comput; 2012 Jan; 24(1):134-93. PubMed ID: 21919782
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy.
    Liang Z; Luo Z; Liu K; Qiu J; Liu Q
    IEEE J Biomed Health Inform; 2023 Jan; 27(1):492-503. PubMed ID: 36170412
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Subspace dynamic mode decomposition for stochastic Koopman analysis.
    Takeishi N; Kawahara Y; Yairi T
    Phys Rev E; 2017 Sep; 96(3-1):033310. PubMed ID: 29347032
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Biologically plausible deep learning - But how far can we go with shallow networks?
    Illing B; Gerstner W; Brea J
    Neural Netw; 2019 Oct; 118():90-101. PubMed ID: 31254771
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying almost invariant sets in stochastic dynamical systems.
    Billings L; Schwartz IB
    Chaos; 2008 Jun; 18(2):023122. PubMed ID: 18601489
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning epidemic threshold in complex networks by Convolutional Neural Network.
    Ni Q; Kang J; Tang M; Liu Y; Zou Y
    Chaos; 2019 Nov; 29(11):113106. PubMed ID: 31779342
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
    Jeon E; Ko W; Yoon JS; Suk HI
    IEEE Trans Neural Netw Learn Syst; 2023 Feb; 34(2):739-749. PubMed ID: 34357871
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A fast saddle-point dynamical system approach to robust deep learning.
    Esfandiari Y; Balu A; Ebrahimi K; Vaidya U; Elia N; Sarkar S
    Neural Netw; 2021 Jul; 139():33-44. PubMed ID: 33677377
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.