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Topological Graph Neural Networks

Feb 15, 2021
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt


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Topological Data Analysis of copy number alterations in cancer

Nov 22, 2020
Stefan Groha, Caroline Weis, Alexander Gusev, Bastian Rieck


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Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design

Nov 13, 2020
Sarah C. Br眉ningk, Felix Hensel, Catherine R. Jutzeler, Bastian Rieck

* 8 pages, 1 figure, Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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Graph Kernels: State-of-the-Art and Future Challenges

Nov 10, 2020
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-L贸pez, Leslie O'Bray, Bastian Rieck

* Accepted by Foundations and Trends in Machine Learning, 2020 

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Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis

Sep 13, 2020
Jannis Born, Nina Wiedemann, Gabriel Br盲ndle, Charlotte Buhre, Bastian Rieck, Karsten Borgwardt

* 8 pages, 4 figures 

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Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence

Jun 14, 2020
Bastian Rieck, Tristan Yates, Christian Bock, Karsten Borgwardt, Guy Wolf, Nicholas Turk-Browne, Smita Krishnaswamy


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Path Imputation Strategies for Signature Models of Irregular Time Series

Jun 06, 2020
Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck


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Path Imputation Strategies for Signature Models

May 25, 2020
Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck


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Set Functions for Time Series

Sep 26, 2019
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt


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Topological Machine Learning with Persistence Indicator Functions

Jul 31, 2019
Bastian Rieck, Filip Sadlo, Heike Leitte

* Topology-based Methods in Visualization 2017 

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Persistent Intersection Homology for the Analysis of Discrete Data

Jul 31, 2019
Bastian Rieck, Markus Banagl, Filip Sadlo, Heike Leitte

* Topology-based Methods in Visualization 2017 

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Wasserstein Weisfeiler-Lehman Graph Kernels

Jun 04, 2019
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-L贸pez, Bastian Rieck, Karsten Borgwardt


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Topological Autoencoders

Jun 03, 2019
Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt


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Machine learning for early prediction of circulatory failure in the intensive care unit

Apr 19, 2019
Stephanie L. Hyland, Martin Faltys, Matthias H眉ser, Xinrui Lyu, Thomas Gumbsch, Crist贸bal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar R盲tsch, Tobias M. Merz

* 5 main figures, 1 main table, 13 supplementary figures, 5 supplementary tables; 250ppi images 

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Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis

Feb 07, 2019
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt

* Submitted as a conference paper to ISMB 2019 

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Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

Dec 23, 2018
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten Borgwardt

* Accepted as a conference paper at ICLR 2019 

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