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Felix Hensel
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A survey of topological machine learning methods
F Hensel, M Moor, B Rieck
Frontiers in Artificial Intelligence 4, 681108, 2021
1522021
A survey of topological machine learning methods. Front
F Hensel, M Moor, B Rieck
Artif. Intell 4 (52), 10.3389, 2021
262021
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
T de Surrel, F Hensel, M Carrière, T Lacombe, Y Ike, H Kurihara, M Glisse, ...
Topological, Algebraic and Geometric Learning Workshops 2022, 96-106, 2022
142022
Stability conditions and Lagrangian cobordisms
F Hensel
Journal of Symplectic Geometry 18 (2), 463 – 536, 2020
82020
Back to the basics with inclusion of clinical domain knowledge-A simple, scalable and effective model of Alzheimer’s Disease classification
SC Brüningk, F Hensel, LP Lukas, M Kuijs, CR Jutzeler, B Rieck
Machine Learning for Healthcare Conference, 730-754, 2021
22021
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design
SC Brüningk, F Hensel, CR Jutzeler, B Rieck
arXiv preprint arXiv:2011.06531, 2020
22020
Magdiff: Covariate data set shift detection via activation graphs of deep neural networks
F Hensel, C Arnal, M Carrière, T Lacombe, H Kurihara, Y Ike, F Chazal
arXiv preprint arXiv:2305.13271, 2023
12023
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
FC Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi ...
arXiv preprint: https://arxiv.org/abs/2202.01725, 2022
2022
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