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Stefan Klus

Heriot-Watt University

United Kingdom

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Professors in United Kingdom

Articles (25)

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Collaborators (6)

Natasa Djurdjevac Conrad

Zuse Institute Berlin

GERMANY

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Giovanni Lo Iacono

Senior Lecturer in Biostatistics/Epidemiology

University of Surrey

UNITED KINGDOM

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Feliks Nüske

Junior Professor (CPJ)

Laboratoire d'analyse et d'architecture des systèmes

FRANCE

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Sebastian Pokutta

Professor

Technische Universität Berlin

GERMANY

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David Lloyd

Professor

University of Surrey

UNITED KINGDOM

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Jason Bramburger

Associate Professor

Concordia University

CANADA

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Stefan Klus

Research Interests

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Articles (25)

Graph Isomorphism: Mixed-Integer Convex Optimization from First-Order Methods

Numerical approximation of the Koopman-von Neumann equation: Operator learning and quantum computing

Spectral clustering of time-evolving networks using spatio-temporal random walks

Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds

Learning Graphons From Data: Random Walks, Transfer Operators, and Spectral Clustering

Clustering time-evolving networks using the spatiotemporal graph Laplacian

Data-driven analysis of fine-scale badger movement in the UK

Data-driven system identification using quadratic embeddings of nonlinear dynamics

Learning dynamical systems from data: Gradient-based dictionary optimization

Random walk based snapshot clustering for detecting community dynamics in temporal networks

Continuous optimization methods for the graph isomorphism problem

Existence and uniqueness of solutions of the Koopman–von Neumann equation on bounded domains

Variability of SST through Koopman Modes

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

Transfer operators on graphs: spectral clustering and beyond

Efficient approximation of molecular kinetics using random Fourier features

Overcoming the timescale barrier in molecular dynamics

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

Koopman analysis of quantum systems*

Deeptime: a Python library for machine learning dynamical models from time series data

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

Tensor-based computation of metastable and coherent sets

Feature space approximation for kernel-based supervised learning

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

Estimation of Koopman Transfer Operators for the Equatorial Pacific SST

Collaborators (6)

Natasa Djurdjevac Conrad

Giovanni Lo Iacono

Feliks Nüske

Sebastian Pokutta

David Lloyd

Jason Bramburger

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