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All papers authored by Stefan Klus

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2024 Jan-Hendrik Niemann, Stefan Klus

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, Nataša Djurdjevac Conrad, Christof Schütte

Koopman-based surrogate models for multi-objective optimization of agent-based systems

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Stefan Klus

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Transfer operators on graphs: spectral clustering and beyond

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2023 Feliks Nüske

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, Stefan Klus

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Efficient approximation of molecular kinetics using random Fourier features

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Christof Schütte

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, Stefan Klus

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, Carsten Hartmann

Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning

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2022 Stefan Klus

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, Nataša Djurdjevac Conrad

Koopman-Based Spectral Clustering of Directed and Time-Evolving Graphs

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Mattes Mollenhauer, Stefan Klus

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, Christof Schütte, Péter Koltai

Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence

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Hongyu Zhu, Stefan Klus

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, Tuhin Sahai

A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs

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Stefan Klus

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, Feliks Nüske

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, Sebastian Peitz

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Koopman analysis of quantum systems*

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Feliks Nüske

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, Patrick Gelß

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, Stefan Klus

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, Cecilia Clementi

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Tensor-based computation of metastable and coherent sets

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Stefan Klus

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, Patrick Gelß

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, Feliks Nüske

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Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

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Patrick Gelß

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, Stefan Klus

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, Ingmar Schuster, Christof Schütte

Feature space approximation for kernel-based supervised learning

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Jan-Hendrik Niemann

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, Stefan Klus

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, Christof Schütte

Data-driven model reduction of agent-based systems using the Koopman generator

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Antonio Navarra, Joe Tribbia, Stefan Klus

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Estimation of Koopman Transfer Operators for the Equatorial Pacific SST

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2020 Andreas Bittracher, Stefan Klus

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, Boumediene Hamzi, Péter Koltai, Christof Schütte

Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds

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Kateryna Melnyk

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, Stefan Klus

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, Grégoire Montavon, Tim O. F. Conrad

GraphKKE: graph Kernel Koopman embedding for human microbiome analysis

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Stefan Klus

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, Feliks Nüske

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, Boumediene Hamzi

Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator

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Stefan Klus

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, Feliks Nüske

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, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, Christof Schütte

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

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Mattes Mollenhauer, Ingmar Schuster, Stefan Klus

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, Christof Schütte

Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces

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Sebastian Peitz, Stefan Klus

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Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator

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