Bastian Rieck
Orcid: 0000-0003-4335-0302Affiliations:
- Helmholtz Munich, Germany
According to our database1,
Bastian Rieck
authored at least 80 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
-
on d-nb.info
On csauthors.net:
Bibliography
2024
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning.
CoRR, 2024
CoRR, 2024
2023
SIAM J. Math. Data Sci., June, 2023
CoRR, 2023
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification.
CoRR, 2023
Proceedings of the Topological, 2023
Proceedings of the Topological, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Pattern Recognit. Lett., 2021
Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification.
CoRR, 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer's Disease classification.
Proceedings of the Machine Learning for Healthcare Conference, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Found. Trends Mach. Learn., 2020
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design.
CoRR, 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis.
CoRR, 2020
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra.
Bioinform., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Machine learning for early prediction of circulatory failure in the intensive care unit.
CoRR, 2019
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping.
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks.
IEEE Trans. Vis. Comput. Graph., 2018
Association mapping in biomedical time series via statistically significant shapelet mining.
Bioinform., 2018
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018
Proceedings of the IEEE Pacific Visualization Symposium, 2018
2017
2016
Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology.
Comput. Graph. Forum, 2016
Proceedings of the Visualization in Medicine and Life Sciences III, 2016
2015
Comput. Graph. Forum, 2015
2014
Comput. Graph. Forum, 2014
2012
Multivariate Data Analysis Using Persistence-Based Filtering and Topological Signatures.
IEEE Trans. Vis. Comput. Graph., 2012