Bastian Rieck
Bastian Rieck
Machine Learning & Computational Biology Lab, D-BSSE, ETH Zürich
Verified email at bsse.ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
452019
Persistent Homology for the Evaluation of Dimensionality Reduction Schemes
B Rieck, H Leitte
Computer Graphics Forum 34 (3), 2015
452015
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
442020
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
432012
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
352019
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
31*2020
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
282018
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
26*2019
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
B Rieck, C Bock, K Borgwardt
International Conference on Machine Learning (ICML), 2019
252019
Topological Autoencoders
M Moor, M Horn, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 7045--7054, 2020
202020
Basic Analysis of Bin-Packing Heuristics
B Rieck
Interdisciplinary Center for Scientific Computing, Heidelberg University, 2010
202010
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
172018
Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology
B Rieck, H Leitte
Computer Graphics Forum 35 (3), 81-90, 2016
132016
Structural Analysis of Multivariate Point Clouds Using Simplicial Chains
B Rieck, H Leitte
Computer Graphics Forum 33 (8), 28-37, 2014
122014
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
122013
Graph Filtration Learning
CD Hofer, G Graf, B Rieck, M Niethammer, R Kwitt
arXiv preprint arXiv:1905.10996, 2019
102019
Topological Machine Learning with Persistence Indicator Functions
B Rieck, F Sadlo, H Leitte
Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019
92019
Set Functions for Time Series
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
arXiv preprint arXiv:1909.12064, 2019
72019
Agreement analysis of quality measures for dimensionality reduction
B Rieck, H Leitte
Topological Methods in Data Analysis and Visualization IV: Theory …, 2017
72017
Hierarchies and Ranks for Persistence Pairs
B Rieck, F Sadlo, H Leitte
Topological Methods in Data Analysis and Visualization V: Theory, Algorithms …, 2019
62019
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