A. Ramadhan
Statistical and Nonlinear Physics · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 25 citations into it
- Computational Mechanics — 12 citations into it
- Numerical Analysis — 6 citations into it
Whom A. Ramadhan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- William W. Hager (in Computational Mechanics)
- J. Nathan Kutz (in Statistical and Nonlinear Physics)
- Steven L. Brunton (in Statistical and Nonlinear Physics)
- Joshua L. Proctor (in Statistical and Nonlinear Physics)
Papers from A. Ramadhan's perspective
Ordered by how strongly the researchers A. Ramadhan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Ordinary Differential Equations
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
- Data-driven discovery of partial differential equations
- Dynamic mode decomposition of numerical and experimental data
- Artificial neural networks for solving ordinary and partial differential equations
- On the limited memory BFGS method for large scale optimization
- Approximation theory of the MLP model in neural networks
Their papers
- Universal Differential Equations for Scientific Machine Learning (2020) — 823 citations