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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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Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

Jul 02, 2020
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp


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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 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 Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar Rätsch, 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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