Manuel Schaller
Statistical and Nonlinear Physics · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 18 citations into it
- Control and Systems Engineering — 9 citations into it
- Computational Mechanics — 6 citations into it
- Molecular Biology — 5 citations into it
Whom Manuel Schaller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank No'e
- Lars Grüne
- Hao Wu
- Feliks Nuske
- Milan Korda
- Christof Schutte
- Eurika Kaiser
- Matthew O. Williams
- Steven L. Brunton
- J. Nathan Kutz
Papers from Manuel Schaller's perspective
Ordered by how strongly the researchers Manuel Schaller trusts endorse each paper. Same corpus, a different order for every researcher.
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
- Variational Approach to Molecular Kinetics. (Journal of Chemical Theory and Computation)
- A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
- Deep learning for universal linear embeddings of nonlinear dynamics
- Variational Approach for Learning Markov Processes from Time Series Data
- Data-Driven Model Reduction and Transfer Operator Approximation (Journal of nonlinear science)
- A Direct Approach to Conformational Dynamics Based on Hybrid Monte Carlo
- Markov models of molecular kinetics: generation and validation.
- A Hilbert Space Embedding for Distributions
- Reproducing kernel Hilbert spaces in probability and statistics