Kadierdan Kaheman
Statistical and Nonlinear Physics · 2020
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 27 citations into it
- Artificial Intelligence — 14 citations into it
- Molecular Biology — 11 citations into it
- Computational Mechanics — 9 citations into it
- Statistics and Probability — 9 citations into it
- AI for Physical Sciences — 7 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Kadierdan Kaheman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven L. Brunton
- Hirotugu Akaike
- Robert Tibshirani
- Michael D. Schmidt
- Rick Chartrand
- Hayden Schaeffer
- Lloyd N. Trefethen
- Athel Cornish-Bowden
- J. Nathan Kutz
- Hod Lipson
Papers from Kadierdan Kaheman's perspective
Ordered by how strongly the researchers Kadierdan Kaheman trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Automated reverse engineering of nonlinear dynamical systems
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- Distilling Free-Form Natural Laws from Experimental Data
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variability
- Data-driven discovery of partial differential equations
- Estimating the Dimension of a Model
- Information Theory and an Extension of the Maximum Likelihood Principle