The effects of randomness on the stability of node embeddings T Schumacher, H Wolf, M Ritzert, F Lemmerich, M Grohe, M Strohmaier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 22 | 2021 |
Signal processing on simplicial complexes MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra Higher-Order Systems, 301-328, 2022 | 19 | 2022 |
Hodgelets: Localized spectral representations of flows on simplicial complexes TM Roddenberry, F Frantzen, MT Schaub, S Segarra ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 15 | 2022 |
Outlier detection for trajectories via flow-embeddings F Frantzen, JB Seby, MT Schaub 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1568-1572, 2021 | 5 | 2021 |
Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 3 | 2023 |
Signal processing on product spaces TM Roddenberry, VP Grande, F Frantzen, MT Schaub, S Segarra ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... arXiv preprint arXiv:2402.02441, 2024 | 1 | 2024 |
Learning From Simplicial Data Based on Random Walks and 1D Convolutions F Frantzen, MT Schaub arXiv preprint arXiv:2404.03434, 2024 | | 2024 |