Yongho Kim

Max Planck Institute for Dynamics of Complex Technical Systems — Germany

Physics and Astronomy · Physical Sciences

8h-index248citations69works0.82yr avg
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Research Topics

Model Reduction and Neural Networks(13), Radiation Detection and Scintillator Technologies(5), Nuclear Physics and Applications(5), Handwritten Text Recognition Techniques(4), Astro and Planetary Science(3)

Publications69 total

Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback controller design
Advances in Computational Mathematics·2025Open Access
A study on granting legal personality to Artificial Intelligence and responsibility for illegal acts
Journal of the Korea Society of Computer and Information·2024
Polytopic autoencoders with smooth clustering for reduced-order modeling of flows
Journal of Computational Physics·2024· 2 citedOpen Access
Object Detection in Historical Images: Transfer Learning and Pseudo Labelling
Journal on Computing and Cultural Heritage·2024· 4 citedOpen Access
Convolutional autoencoders, clustering, and POD for low-dimensional parametrization of flow equations
Computers & Mathematics with Applications·2024· 3 citedOpen Access
Local and global strong solutions to the 3D Navier–Stokes equations with damping
Journal of Evolution Equations·2024
Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design
arXiv (Cornell University)·2024Open Access
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
arXiv (Cornell University)·2024Open Access
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Going Deeper with Five-point Stencil Convolutions for Reaction-Diffusion Equations
arXiv (Cornell University)·2023Open Access
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
Zenodo (CERN European Organization for Nuclear Research)·2023· 1 citedOpen Access
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
arXiv (Cornell University)·2023Open Access
Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Flow Equations [source codes]
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Global regularity for the 3D inhomogeneous incompressible Navier-Stokes equations with damping
Applications of Mathematics·2022· 1 cited
Learning finite difference methods for reaction-diffusion type equations with FCNN
Computers & Mathematics with Applications·2022· 10 citedOpen Access
Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows
IFAC-PapersOnLine·2022· 3 citedOpen Access
Convolutional Auto Encoders and Clustering for Low-dimensional Parametrization of Incompressible Flows
Zenodo (CERN European Organization for Nuclear Research)·2022· 1 citedOpen Access
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Frequent Co-authors

Jan Heiland(9), Hans Herrmann(5), M. S. Rubery(5), Chanjong Im(4), Thomas Mandl(4), Yongho Choi(3), Sebastian Schmideler(2), Wiebke Helm(2), Steffen W. R. Werner(2), C. Cerjan(2), M. Gatu Johnson(2), J. A. Frenje(2), H. W. Herrmann(2), K. D. Meaney(2), Hermann Geppert-Kleinrath(2), C. J. Horsfield(2), W. Stoeffl(2), Hyeong-Gyun Kim(2), G. Hale(2), Maurice M. Kreevoy(1)