Data

Supplementary material of the paper: Learning To See Topological Properties In 4D Using Convolutional Neural Networks

The University of Newcastle
Hannouch Khalil ; Chalup Stephan
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=1959.13/1477380&rft.title=Supplementary material of the paper: Learning To See Topological Properties In 4D Using Convolutional Neural Networks&rft.identifier=1959.13/1477380&rft.publisher=The University of Newcastle&rft.description=This record contains supplementary material associated with the paper:Khalil Mathieu Hannouch, Stephan Chalup. Learning To See Topological Properties In 4D Using Convolutional Neural Networks. 2nd Annual Topology, Algebra, and Geometry in Machine Learning Workshop at ICML. PMLR 2023.The supplement comprises Code, Data set and Movie.&rft.creator=Hannouch Khalil &rft.creator=Chalup Stephan &rft.date=2025&rft.edition=1&rft_rights= https://www.newcastle.edu.au/library/teaching-and-research-support/copyright/repository-copyright#accordion-988664&rft_subject=Betti numbers, manifolds, 4-dimensional images, convolutional neural network, topological data analysis&rft.type=dataset&rft.language=English Access the data
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This record contains supplementary material associated with the paper:
Khalil Mathieu Hannouch, Stephan Chalup. Learning To See Topological Properties In 4D Using Convolutional Neural Networks. 2nd Annual Topology, Algebra, and Geometry in Machine Learning Workshop at ICML. PMLR 2023.
The supplement comprises Code, Data set and Movie.

Issued: 09 05 2025

Created: 09 05 2025

Modified: 09 05 2025

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Betti numbers, manifolds, 4-dimensional images, convolutional neural network, topological data analysis |

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