Karl Worthmann

Statistical and Nonlinear Physics · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karl Worthmann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Frank No'e
  2. Hao Wu
  3. Feliks Nuske

Papers from Karl Worthmann's perspective

Ordered by how strongly the researchers Karl Worthmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
  2. Variational Approach to Molecular Kinetics. (Journal of Chemical Theory and Computation)
  3. A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
  4. Deep learning for universal linear embeddings of nonlinear dynamics
  5. Variational Approach for Learning Markov Processes from Time Series Data
  6. Data-Driven Model Reduction and Transfer Operator Approximation (Journal of nonlinear science)
  7. A Direct Approach to Conformational Dynamics Based on Hybrid Monte Carlo
  8. Markov models of molecular kinetics: generation and validation.
  9. A Hilbert Space Embedding for Distributions
  10. Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control (at - Automatisierungstechnik)

Their papers