Bastian Rieck

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	All	Since 2016
Citations	397	370
h-index	12	12
i10-index	15	15

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Co-authors

Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Heike LeitteProfessor of Computer Science, TU KaiserslauternVerified email at cs.uni-kl.de
Michael MoorPhD Student, Machine Learning and Computational Biology Lab, ETH ZurichVerified email at bsse.ethz.ch
Max HornPhD Student in Machine Learning and Computational Biology, ETH ZürichVerified email at bsse.ethz.ch
Christian BockETH ZurichVerified email at bsse.ethz.ch
Filip SadloHeidelberg University, GermanyVerified email at iwr.uni-heidelberg.de
Matteo TogninalliCOO @Visium; PhD from ETH ZurichVerified email at bsse.ethz.ch
Hubert MaraJunior Research Group Leader, IWR - Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Caroline Viktoria WeisPhD Student Machine Learning and Computational Biology, ETH ZurichVerified email at bsse.ethz.ch
Damian RoqueiroETH ZürichVerified email at bsse.ethz.ch
Elisabetta GhisuPhD student, ETH ZurichVerified email at bsse.ethz.ch
Felipe Llinares-LópezGoogle Research, Brain TeamVerified email at google.com
Adrian EgliUniversity Hospital Basel / University of BaselVerified email at usb.ch
Catherine JutzelerMachine Learning & Computational Biology Lab, D-BSSE, ETH ZürichVerified email at bsse.ethz.ch
Cristóbal EstebanETH ZurichVerified email at ethz.ch
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Stephanie L HylandPhD Student, Weill Cornell/Memorial Sloan Kettering Cancer CenterVerified email at cornell.edu
Xinrui LyuDoctoral student, Biomedical Informatics Group, Department of Computer Science, ETH ZürichVerified email at inf.ethz.ch
Ulderico FugacciCNR - IMATIVerified email at cnr.it
Jonas LukasczykPostdoctoral Researcher in CIDSE (Arizona State Univeristy)Verified email at jluk.de

Bastian Rieck

Machine Learning & Computational Biology Lab, D-BSSE, ETH Zürich

Verified email at bsse.ethz.ch - Homepage

Machine Learning Computational Topology Topological Machine Learning Computational Biology Personalised Medicine


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Persistent Homology for the Evaluation of Dimensionality Reduction Schemes B Rieck, H Leitte Computer Graphics Forum 34 (3), 2015	44	2015
Multivariate Data Analysis Using Persistence-Based Filtering and Topological Signatures B Rieck, H Mara, H Leitte IEEE Transactions on Visualization and Computer Graphics 18 (12), 2382-2391, 2012	40	2012
Wasserstein Weisfeiler-Lehman Graph Kernels M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt Advances in Neural Information Processing Systems 32, 6436--6446, 2019	33	2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt International Conference on Learning Representations (ICLR), 2019	28	2019
Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks B Rieck, U Fugacci, J Lukasczyk, H Leitte IEEE Transactions on Visualization and Computer Graphics 24 (1), 822-831, 2018	28	2018
Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A … CR Jutzeler, L Bourguignon, CV Weis, B Tong, C Wong, B Rieck, ... medRxiv, 2020	25	2020
Early prediction of circulatory failure in the intensive care unit using machine learning SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ... Nature Medicine 26 (3), 364-373, 2020	21*	2020
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt Machine Learning for Healthcare 2019, 2019	21*	2019
A Persistent Weisfeiler–Lehman Procedure for Graph Classification B Rieck, C Bock, K Borgwardt International Conference on Machine Learning (ICML), 2019	20	2019
Basic Analysis of Bin-Packing Heuristics B Rieck Interdisciplinary Center for Scientific Computing, Heidelberg University, 2010	20	2010
Association mapping in biomedical time series via statistically significant shapelet mining C Bock, T Gumbsch, M Moor, B Rieck, D Roqueiro, K Borgwardt Bioinformatics 34 (13), i438-i446, 2018	16	2018
Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology B Rieck, H Leitte Computer Graphics Forum 35 (3), 81-90, 2016	13	2016
Structural Analysis of Multivariate Point Clouds Using Simplicial Chains B Rieck, H Leitte Computer Graphics Forum 33 (8), 28-37, 2014	12	2014
UNWRAPPING HIGHLY-DETAILED 3D MESHES OF ROTATIONALLY SYMMETRIC MAN-MADE OBJECTS B Rieck, H Mara, S Krömker ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2013	12	2013
Topological Autoencoders M Moor, M Horn, B Rieck, K Borgwardt International Conference on Machine Learning (ICML), 7045--7054, 2020	11	2020
Topological Machine Learning with Persistence Indicator Functions B Rieck, F Sadlo, H Leitte Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019	7	2019
Agreement analysis of quality measures for dimensionality reduction B Rieck, H Leitte Topological Methods in Data Analysis and Visualization IV: Theory …, 2017	7	2017
Visualization of 4D Vector Field Topology L Hofmann, B Rieck, F Sadlo Computer Graphics Forum 37 (3), 301-313, 2018	6	2018
Graph Filtration Learning CD Hofer, G Graf, B Rieck, M Niethammer, R Kwitt arXiv preprint arXiv:1905.10996, 2019	5	2019
Hierarchies and Ranks for Persistence Pairs B Rieck, F Sadlo, H Leitte Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019	5	2019

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