Bastian Rieck

Cited by

	All	Since 2016
Citations	460	431
h-index	13	13
i10-index	15	15

240

120

180

20122013201420152016201720182019202020212 1 5 16 29 30 37 51 223 58

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
Elisabetta GhisuPhD student, ETH ZurichVerified email at bsse.ethz.ch
Felipe Llinares-LópezGoogle Research, Brain TeamVerified email at google.com
Caroline Viktoria WeisPhD Student Machine Learning and Computational Biology, ETH ZurichVerified email at bsse.ethz.ch
Hubert MaraJunior Research Group Leader, IWR - Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Damian RoqueiroETH ZürichVerified email at bsse.ethz.ch
Catherine JutzelerMachine Learning & Computational Biology Lab, D-BSSE, ETH ZürichVerified email at bsse.ethz.ch
Adrian EgliUniversity Hospital Basel / University of BaselVerified email at usb.ch
Cristóbal EstebanETH ZurichVerified email at ethz.ch
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Stephanie L HylandMicrosoft Research CambridgeVerified email at microsoft.com
Xinrui LyuDoctoral student, Biomedical Informatics Group, Department of Computer Science, ETH ZürichVerified email at inf.ethz.ch
Matthias WalterUniversity of British Columbia, Vancouver, CanadaVerified email at icord.org
Ulderico FugacciCNR - IMATIVerified email at cnr.it

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	45	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	43	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	40	2019
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, ... Travel medicine and infectious disease, 101825, 2020	37	2020
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	33	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
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	25*	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	24*	2019
A Persistent Weisfeiler–Lehman Procedure for Graph Classification B Rieck, C Bock, K Borgwardt International Conference on Machine Learning (ICML), 2019	23	2019
Basic Analysis of Bin-Packing Heuristics B Rieck Interdisciplinary Center for Scientific Computing, Heidelberg University, 2010	20	2010
Topological Autoencoders M Moor, M Horn, B Rieck, K Borgwardt International Conference on Machine Learning (ICML), 7045--7054, 2020	18	2020
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	17	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 Machine Learning with Persistence Indicator Functions B Rieck, F Sadlo, H Leitte Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019	9	2019
Graph Filtration Learning CD Hofer, G Graf, B Rieck, M Niethammer, R Kwitt arXiv preprint arXiv:1905.10996, 2019	8	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
Set Functions for Time Series M Horn, M Moor, C Bock, B Rieck, K Borgwardt arXiv preprint arXiv:1909.12064, 2019	6	2019
Hierarchies and Ranks for Persistence Pairs B Rieck, F Sadlo, H Leitte Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019	6	2019

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