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Rieck, Bastian

  1. Topological Autoencoders
    2019/06/03 by Michael Moor, Max Horn, Moor, Michael +5 · 1 voice · 13 citations
    Computer Science · Mathematics · #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #math.AT #stat.ML
  2. Set Functions for Time Series
    2019/09/26 by Horn, Max, Moor, Michael, Bock, Christian +2 · 13 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Position: Topological Deep Learning is the New Frontier for Relational Learning
    2024/02/14 by Theodore Papamarkou, Papamarkou, Theodore, Tolga Birdal +41 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
  4. Weisfeiler and Leman go Machine Learning: The Story so far
    2021/12/18 by Christopher G. Morris, Morris, Christopher, Yaron Lipman +13 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  5. Graph Filtration Learning
    2019/05/27 by Hofer, Christoph D., Graf, Florian, Rieck, Bastian +2 · 6 citations
    #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Curvature Filtrations for Graph Generative Model Evaluation
    2023/01/30 by Joshua Southern, Southern, Joshua, Jeremy Wayland +5 · 2 voices · 2 citations
    #cs.LG #math.AT #stat.ML
  7. Metric Space Magnitude for Evaluating the Diversity of Latent Representations
    2023/11/27 by Katharina Limbeck, Limbeck, Katharina, Rayna Andreeva +5 · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Generative Adversarial Networks and Image Synthesis
  8. Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
    2021/06/02 by Leslie O’Bray, O'Bray, Leslie, Max Horn +5 · 4 citations
    Computer Science · Physics and Astronomy · Social Sciences · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Computational and Text Analysis Methods #Data Visualization and Analytics #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  9. Differentiable Euler Characteristic Transforms for Shape Classification
    2023/10/11 by Ernst Roell, Roell, Ernst, Bastian Rieck +1 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
  10. Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
    2020/06/14 by Bastian Rieck, Tristan S. Yates, Rieck, Bastian +11 · 3 citations
    Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Topological and Geometric Data Analysis #Advanced Neuroimaging Techniques and Applications #Cell Image Analysis Techniques
  11. On the Expressivity of Persistent Homology in Graph Learning
    2023/02/20 by Ballester, Rubén, Rieck, Bastian · 4 citations
    Computer Science · #Topological and Geometric Data Analysis
  12. A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
    2022/08/30 by Dominik Waibel, Waibel, Dominik J. E., Ernst Röell +7 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Digital Imaging for Blood Diseases #Generative Adversarial Networks and Image Synthesis
  13. Metric Space Magnitude and Generalisation in Neural Networks
    2023/05/09 by Rayna Andreeva, Katharina Limbeck, Andreeva, Rayna +5 · 3 citations
    Computer Science · #Image Retrieval and Classification Techniques #Neural Networks and Applications #Human Pose and Action Recognition
  14. Topological Singularity Detection at Multiple Scales
    2022/09/30 by von Rohrscheidt, Julius, Rieck, Bastian · 2 citations
    #32S50 (Secondary) #55N31 (Primary) #Algebraic Topology (math.AT) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices
    2023/03/08 by Kalyan Varma Nadimpalli, Nadimpalli, Kalyan Varma, Amit Chattopadhyay +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Topological and Geometric Data Analysis
  16. Persistent Homology via Ellipsoids
    2024/08/21 by Canova, Niklas, Kališnik, Sara, Moser, Aaron +2 · 3 citations
    #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
  17. Geometry-Aware Edge Pooling for Graph Neural Networks
    2025/06/13 by Limbeck, Katharina, Mezrag, Lydia, Wolf, Guy +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
    2025/02/04 by Corinna Coupette, Jeremy Wayland, Coupette, Corinna +4 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  19. Wasserstein Weisfeiler-Lehman Graph Kernels
    2019/06/04 by Togninalli, Matteo, Ghisu, Elisabetta, Llinares-López, Felipe +2 · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Molecular Networks (q-bio.MN)
  20. Exploring the Geometry and Topology of Neural Network Loss Landscapes
    2021/01/31 by Stefan Horoi, Horoi, Stefan, Jessie Huang +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Topological and Geometric Data Analysis
  21. Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
    2024/10/23 by Bastian Rieck, Rieck, Bastian · 3 citations
    Computer Science · #55N31 #62R40 #68T09 #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Topological and Geometric Data Analysis
  22. On Measuring Excess Capacity in Neural Networks
    2022/02/16 by Graf, Florian, Zeng, Sebastian, Rieck, Bastian +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
    2022/10/21 by Corinna Coupette, Coupette, Corinna, Sebastian Dalleiger +3 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #68R10 #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  24. CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
    2024/09/12 by Davide Buffelli, Farzin Soleymani, Buffelli, Davide +3 · 1 voice · 1 citation
    #cs.LG #cs.AI
  25. Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
    2024/10/03 by Julius von Rohrscheidt, von Rohrscheidt, Julius, Bastian Rieck +1 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Algebraic Topology (math.AT) #Cloud Computing and Resource Management #FOS: Computer and information sciences #FOS: Mathematics #Graph Theory and Algorithms #Machine Learning (cs.LG)
  26. Principal Curvatures Estimation with Applications to Single Cell Data
    2025/02/06 by Zhang, Yanlei, Mezrag, Lydia, Sun, Xingzhi +6 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Simplicial Representation Learning with Neural k-Forms
    2023/12/13 by Kelly Maggs, Maggs, Kelly, Celia Hacker +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algebraic Topology (math.AT) #Cell Image Analysis Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Topological and Geometric Data Analysis
  28. DONUT -- Creation, Development, and Opportunities of a Database
    2023/04/24 by Giunti, Barbara, Lazovskis, Jānis, Rieck, Bastian · 1 citation
    #Algebraic Topology (math.AT) #Databases (cs.DB) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Mathematics
  29. Mapping the Multiverse of Latent Representations
    2024/02/02 by Jeremy Wayland, Corinna Coupette, Wayland, Jeremy +3 · 1 citation
    Computer Science · #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  30. MANTRA: The Manifold Triangulations Assemblage
    2024/10/03 by Ballester, Rubén, Röell, Ernst, Schmid, Daniel Bīn +4 · 1 citation
    #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
  31. Low-dimensional embeddings of high-dimensional data
    2025/08/21 by Cyril de Bodt, de Bodt, Cyril, Alex Diaz-Papkovich +39 · 1 voice · 3 citations
    #cs.LG