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Topic: Topological and Geometric Data Analysis ×

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Papers in Topological and Geometric Data Analysis 48

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Geomstats: A Python Package for Riemannian Geometry in Machine Learning
2020 arXiv (Cornell University) software-paper Computer Science Topological and Geometric Data Analysis Open access

Nina Miolane, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, +12 more

95

citations
Simplicial Convolutional Filters
2022 IEEE Transactions on Signal Processing article Computer Science Topological and Geometric Data Analysis Open access

Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert J. T. Leus

40

citations
Finite Impulse Response Filters for Simplicial Complexes
2021 European Signal Processing Conference (EUSIPCO) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert J. T. Leus

31

citations
Signal Processing On Cell Complexes
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij

30

citations
Dirac signal processing of higher-order topological signals
2023 New Journal of Physics article Computer Science Topological and Geometric Data Analysis Open access

Lucille Calmon, Michael T. Schaub, Ginestra Bianconi

30

citations
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra

14

citations
Individualized Patient Risk Stratification Using Machine Learning and Topological Data Analysis
2020 JACC. Cardiovascular imaging article Computer Science Topological and Geometric Data Analysis Open access

Arnold C.T. Ng, Victoria Delgado, Jeroen Joost Bax

9

citations
Higher-order signal processing with the Dirac operator
2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Lucille Calmon, Michael T. Schaub, Ginestra Bianconi

8

citations
Position: Topological Deep Learning is the New Frontier for Relational Learning
2024 PubMed article Computer Science Topological and Geometric Data Analysis Open access

Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar Carlsson, Justin Michael Curry, Yue Lin Gao, +16 more

8

citations
Surface Map Homology Inference
2021 Computer Graphics Forum article Computer Science Topological and Geometric Data Analysis Open access

Janis Born, Patrick Schmidt, Marcel Campen, Leif P. Kobbelt

7

citations
Outlier Detection for Trajectories via Flow-embeddings
2021 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Jean-Baptiste Seby, Michael T. Schaub

7

citations
Introduction to Geometric Learning in Python with Geomstats
2020 Proceedings of the Python in Science Conferences conference-paper Computer Science Topological and Geometric Data Analysis Open access

Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, +14 more

7

citations
Signal Processing On Product Spaces
2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra

6

citations
Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal
2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

Vincent P. Grande, Michael T. Schaub

5

citations
Revealing the void-size distribution of silica glass using persistent homology
2025 Materialia article Computer Science Topological and Geometric Data Analysis Open access

Achraf Atila, Yasser Bakhouch, Zhuocheng Xie

4

citations
Signal processing on simplicial complexes
2021 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

3

citations
FinTDA: Python package for estimating market change through persistent homology diagrams
2024 Software Impacts software-paper Computer Science Topological and Geometric Data Analysis Open access

Hugo Gobato Souto, Ismail Baris, Storm Koert Heuvel, Amir Moradi

2

citations
Normal-Tangential Flow Response to Edge Truncation in Capacitated Networks
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

1

citations
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
2023 Research Explorer (The University of Manchester) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub

0

citations
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Michael T. Schaub

0

citations
Random Abstract Cell Complexes
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

0

citations
TopoBench: A Framework for Benchmarking Topological Deep Learning
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Lev Telyatnikov, Guillermo Bernárdez, Mustafa Hajij, Pavlo Vasylenko, Ghada Zamzmi, Michael T. Schaub, +4 more

0

citations
Efficient Sparsification of Simplicial Complexes via Local Densities of States
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco

0

citations
Topological Trajectory Classification and Landmark Inference on Simplicial Complexes
2024 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub

0

citations
Faster Inference of Cell Complexes from Flows via Matrix Factorization
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Til Spreuer, Josef Hoppe, Michael T. Schaub

0

citations