most citedLearning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations

11 citations · 11 across the 1 of their papers we have counts for

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2 papers

cs.LG2021★ 11 cited

Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations

Manu Kalia, Steven L. Brunton, Hil G. E. Meijer +2

Complex systems manifest a small number of instabilities and bifurcations that are canonical in nature, resulting in universal pattern forming characteristics as a function of some…

nlin.PS2020

Homoclinic puzzles and chaos in a nonlinear laser model

K. Pusuluri, H. G. E. Meijer, A. L. Shilnikov

We present a case study elaborating on the multiplicity and self-similarity of homoclinic and heteroclinic bifurcation structures in the 2D and 3D parameter spaces of a nonlinear l…