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Patrick Gelß
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 10
Top Topics
Optimization Methods
Hyperplane
Mercer Kernel
Learning Problems
Top Venues
CoRR
J. Comput. Phys.
Mach. Learn. Sci. Technol.
Algorithms
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Publications
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Stefan Klus
,
Patrick Gelß
Continuous optimization methods for the graph isomorphism problem.
CoRR
(2023)
Patrick Gelß
,
Aizhan Issagali
,
Ralf Kornhuber
Fredholm integral equations for function approximation and the training of neural networks.
CoRR
(2023)
Patrick Gelß
,
Stefan Klus
,
Ingmar Schuster
,
Christof Schütte
Feature space approximation for kernel-based supervised learning.
Knowl. Based Syst.
221 (2021)
Stefan Klus
,
Patrick Gelß
,
Feliks Nüske
,
Frank Noé
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry.
Mach. Learn. Sci. Technol.
2 (4) (2021)
Patrick Gelß
,
Stefan Klus
,
Ingmar Schuster
,
Christof Schütte
Feature space approximation for kernel-based supervised learning.
CoRR
(2020)
Stefan Klus
,
Patrick Gelß
Tensor-based algorithms for image classification.
CoRR
(2019)
Stefan Klus
,
Patrick Gelß
Tensor-Based Algorithms for Image Classification.
Algorithms
12 (11) (2019)
Feliks Nüske
,
Patrick Gelß
,
Stefan Klus
,
Cecilia Clementi
Tensor-based EDMD for the Koopman analysis of high-dimensional systems.
CoRR
(2019)
Patrick Gelß
,
Stefan Klus
,
Sebastian Matera
,
Christof Schütte
Nearest-neighbor interaction systems in the tensor-train format.
J. Comput. Phys.
341 (2017)
Patrick Gelß
,
Sebastian Matera
,
Christof Schütte
Solving the master equation without kinetic Monte Carlo: Tensor train approximations for a CO oxidation model.
J. Comput. Phys.
314 (2016)