Weighted Composition Operators for Learning Nonlinear Dynamics. [PDF]
Russo BP +3 more
europepmc +1 more source
Identifying the dynamics of interacting objects with applications to scene understanding and video temporal manipulation. [PDF]
Comas A +5 more
europepmc +1 more source
Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence. [PDF]
Wüstner D, Gundestrup HH, Thaysen K.
europepmc +1 more source
Quantum-like cognition and decision-making in the light of quantum measurement theory. [PDF]
Fuyama M, Khrennikov A, Ozawa M.
europepmc +1 more source
Enhancing spectral analysis in nonlinear dynamics with pseudoeigenfunctions from continuous spectra. [PDF]
Sakata I, Kawahara Y.
europepmc +1 more source
Learning the reaction coordinate: collective variables from physical intuition to generative models.
Talmazan RA +5 more
europepmc +1 more source
Applied Koopman Operator Theory for Power Systems Technology
31 pages, 11 ...
Takashi Hikihara +2 more
exaly +4 more sources
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
Iterative algorithms are of utmost importance in decision and control. With an ever growing number of algorithms being developed, distributed, and proprietarized, there is a similarly growing need for methods that can provide classification and comparison.
Maria Fonoberova +2 more
exaly +5 more sources

