Bastian Rieck

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Citations	3780	3648
h-index	29	27
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Karsten BorgwardtDirector, Max Planck Institute of BiochemistryVerified email at biochem.mpg.de
Michael MoorMD, PhD. Assistant Professor at ETH Zurich. Previously: Stanford, Computer Science.Verified email at stanford.edu
Max HornApplied Scientist in Causal Representation Learning, Amazon AWS AIVerified email at amazon.de
Christian BockAWS AIVerified email at amazon.de
Heike LeitteProfessor of Computer Science, TU KaiserslauternVerified email at cs.uni-kl.de
Smita KrishnaswamyYale UniversityVerified email at yale.edu
Caroline WeisSenior AI/ML Engineer, Team Lead Clinical AI GSK.ai | PhD Machine Learning for Healthcare ETHVerified email at bsse.ethz.ch
Guy WolfUniversité de Montréal; MilaVerified email at umontreal.ca
Adrian EgliUniversity of ZurichVerified email at imm.uzh.ch
Catherine Jutzeler, PhDBiomedical Data Science Lab, D-HEST, ETH ZürichVerified email at hest.ethz.ch
Filip SadloHeidelberg University, GermanyVerified email at iwr.uni-heidelberg.de
Jannis BornIBM Research EuropeVerified email at zurich.ibm.com
Matteo TogninalliCo-founder of Visium; PhD from ETH ZurichVerified email at bsse.ethz.ch
Elisabetta GhisuPhD student, ETH ZurichVerified email at bsse.ethz.ch
Felipe Llinares-LópezCo-founder and Principal Research Scientist at BioptimusVerified email at bioptimus.com
avinash aujayebConsultant in acute and respiratory medicineVerified email at nhct.nhs.uk
Manuel CossioUniversitat de BarcelonaVerified email at ub.edu
Aline CuénodPostdoc at McGill University, Montréal, CanadaVerified email at mail.mcgill.ca
Roland KwittProfessor, Department of Artificial Intelligence and Human Interfaces, University of SalzburgVerified email at plus.ac.at
Felix HenselETH ZurichVerified email at bsse.ethz.ch

Bastian Rieck

Other namesBastian Alexander Rieck, Bastian Grossenbacher-Rieck

Professor, AIDOS Lab, University of Fribourg

Verified email at unifr.ch - Homepage

Geometric Deep Learning Topological Data Analysis Topological Deep Learning


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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	354	2020
Wasserstein Weisfeiler-Lehman Graph Kernels M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt Advances in Neural Information Processing Systems (NeurIPS) 32, 6436--6446, 2019	257	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 37, 101825, 2020	223	2020
A Survey of Topological Machine Learning Methods F Hensel, M Moor, B Rieck Frontiers in Artificial Intelligence 4, 681108, 2021	202	2021
Topological Autoencoders M Moor, M Horn, B Rieck, K Borgwardt International Conference on Machine Learning, 7045--7054, 2020	188	2020
Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ... Applied Sciences 11 (2), 672, 2021	161	2021
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	147	2019
Set Functions for Time Series M Horn, M Moor, C Bock, B Rieck, K Borgwardt International Conference on Machine Learning (ICML), 4353-4363, 2020	139	2020
Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review M Moor, B Rieck, M Horn, CR Jutzeler, K Borgwardt Frontiers in Medicine 8, 2021	136	2021
Graph Kernels: State-Of-The-Art and Future Challenges K Borgwardt, E Ghisu, F Llinares-López, L O’Bray, B Rieck Foundations and Trends in Machine Learning 13 (5-6), 531-712, 2020	130	2020
Weisfeiler and Leman go Machine Learning: The Story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... Journal of Machine Learning Research 24 (333), 1--59, 2023	121	2023
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning C Weis, A Cuénod, B Rieck, O Dubuis, S Graf, C Lang, M Oberle, ... Nature Medicine 28 (1), 164-174, 2022	118	2022
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	111*	2019
Graph Filtration Learning CD Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning (ICML) 119, 4314--4323, 2020	107	2020
A Persistent Weisfeiler–Lehman Procedure for Graph Classification B Rieck, C Bock, K Borgwardt International Conference on Machine Learning (ICML), 2019	104	2019
Topological Graph Neural Networks M Horn, E De Brouwer, M Moor, Y Moreau, B Rieck, K Borgwardt international Conference on Learning Representations (ICLR), 2022	95	2022
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells MD Luecken, DB Burkhardt, R Cannoodt, C Lance, A Agrawal, H Aliee, ... Advances in Neural Information Processing Systems (NeurIPS Datasets and …, 2021	85	2021
Persistent Homology for the Evaluation of Dimensionality Reduction Schemes B Rieck, H Leitte Computer Graphics Forum 34 (3), 2015	79	2015
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	69	2018
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence B Rieck, T Yates, C Bock, K Borgwardt, G Wolf, N Turk-Browne†, ... Advances in Neural Information Processing Systems (NeurIPS) 33, 2020	65	2020

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