Eurika Kaiser
Statistical and Nonlinear Physics · 2013–2021
A researcher in the Science corpus: 5 papers; trusts 51 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 141 citations into it; #2,314 of 10,127 by trust here, #1,755 by citations
- Computational Mechanics — 85 citations into it; #6,332 of 10,001 by trust here, #7,884 by citations
- Control and Systems Engineering — 53 citations into it; #4,542 of 8,257 by trust here, #5,227 by citations
- Statistics and Probability — 47 citations into it; #8,857 of 12,932 by trust here, #5,126 by citations
- Artificial Intelligence — 41 citations into it; #24,105 of 35,345 by trust here, #19,873 by citations
- Molecular Biology — 21 citations into it
- Aerospace Engineering — 17 citations into it; #6,224 of 6,421 by trust here, #3,519 by citations
- Computational Theory and Mathematics — 17 citations into it
Whom Eurika Kaiser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven L. Brunton
- J. Nathan Kutz
- Robert Tibshirani
- Clarence W. Rowley
- Igor Mezi'c
- Joshua L. Proctor
- Peter J. Schmid
- Bernd R. Noack
- Floris Takens
- Stephen A. Billings
Who trusts Eurika Kaiser overall
- Steven L. Brunton
- J. Nathan Kutz
- Abhinav Narasingam
- Kadierdan Kaheman
- Kathleen P. Champion
- Urban Fasel
- Friedrich M. Philipp
- Stefan Klus
- Krithika Manohar
- Bingni W. Brunton
Papers from Eurika Kaiser's perspective
Ordered by how strongly the researchers Eurika Kaiser trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Dynamic mode decomposition of numerical and experimental data
- On dynamic mode decomposition: Theory and applications
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
- Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
- Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses (Journal of nonlinear science)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Spectral Properties of Dynamical Systems, Model Reduction and Decompositions
- ImageNet classification with deep convolutional neural networks
Their papers
- Chaos as an intermittently forced linear system (2016) — 645 citations
- Data-driven discovery of Koopman eigenfunctions for control (2017) — 407 citations
- Modern Koopman Theory for Dynamical Systems (2021) — 714 citations
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (2017) — 681 citations
- Cluster-based reduced-order modelling of a mixing layer (2013) — 315 citations