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Zoltán Perkó

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Danny Lathouwers

> Home > Persons > Zoltán Perkó

Publications

2026
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  - journals/corr/abs-2607-04450
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Alessandro Longhi, Danny Lathouwers, Zoltán Perkó:
A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC. CoRR abs/2607.04450 (2026)
2025
[i4]
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  - journals/corr/abs-2502-08683
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Alessandro Longhi, Danny Lathouwers, Zoltán Perkó:
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs. CoRR abs/2502.08683 (2025)
2021
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  - journals/cmpb/Pastor-SerranoL21
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Oscar Pastor-Serrano, Danny Lathouwers, Zoltán Perkó:
A semi-supervised autoencoder framework for joint generation and classification of breathing. Comput. Methods Programs Biomed. 209: 106312 (2021)
2020
[i2]
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  - journals/corr/abs-2010-04559
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Danny Lathouwers, Zoltán Perkó:
An Angular Multigrid Preconditioner for the Radiation Transport Equation with Forward-Peaked Scatter. CoRR abs/2010.04559 (2020)
[i1]
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  - journals/corr/abs-2010-15579
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Oscar Pastor-Serrano, Danny Lathouwers, Zoltán Perkó:
Modeling biomedical breathing signals with convolutional deep probabilistic autoencoders. CoRR abs/2010.15579 (2020)
2019
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  - journals/jcam/LathouwersP19
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Danny Lathouwers, Zoltán Perkó:
An angular multigrid preconditioner for the radiation transport equation with Fokker-Planck scattering. J. Comput. Appl. Math. 350: 165-177 (2019)
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  - journals/jcphy/AlsayyariPLK19
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Fahad Alsayyari, Zoltán Perkó, Danny Lathouwers, Jan Leen Kloosterman:
A nonintrusive reduced order modelling approach using Proper Orthogonal Decomposition and locally adaptive sparse grids. J. Comput. Phys. 399 (2019)
2014
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  - journals/jcphy/PerkoGLK14
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Zoltán Perkó, Luca Gilli, Danny Lathouwers, Jan Leen Kloosterman:
Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis. J. Comput. Phys. 260: 54-84 (2014)

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