| Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows M Weber, E Saucan, J Jost Journal of Complex Networks 5 (4), 527-550, 2017 | 95 | 2017 |
| EGAD: Ultra-fast functional analysis of gene networks S Ballouz, M Weber, P Pavlidis, J Gillis Bioinformatics 33 (4), 612-614, 2016 | 79 | 2016 |
| Forman-Ricci flow for change detection in large dynamics data sets M Weber, J Jost, E Saucan Axioms 5 (4), doi: 10.3390/axioms5040026, 2016 | 54 | 2016 |
| Riemannian Optimization via Frank-Wolfe Methods M Weber, S Sra Mathematical Programming, 2022 | 46* | 2022 |
| Projection-free nonconvex stochastic optimization on Riemannian manifolds M Weber, S Sra IMA Journal of Numerical Analysis 42 (4), 3241–3271, 2021 | 46* | 2021 |
| Coarse Geometry of Evolving Networks M Weber, E Saucan, J Jost Journal of Complex Networks 6 (5), 706--732, 2018 | 42* | 2018 |
| Discrete Curvatures and Network Analysis E Saucan, A Samal, M Weber, J Jost MATCH 80 (3), 605-622, 2018 | 40 | 2018 |
| Robust Large-Margin Learning in Hyperbolic Space M Weber, M Zaheer, AS Rawat, A Menon, S Kumar Advances in Neural Information Processing Systems 34, 2020 | 33 | 2020 |
| Forman's Ricci curvature - From networks to hypernetworks E Saucan, M Weber Complex Networks and Their Applications VII. Studies in Computational …, 2019 | 30* | 2019 |
| Curvature-based Methods for Brain Network Analysis M Weber, J Stelzer, E Saucan, A Naitsat, G Lohmann, J Jost arXiv:1707.00180, 2017 | 27 | 2017 |
| Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data M Weber, M Nickel NeurIPS Relational Representation Learning, 2018 | 16 | 2018 |
| Neighborhood Growth Determines Geometric Priors for Relational Representation Learning M Weber International Conference on Artificial Intelligence and Statistics 108, 266-276, 2020 | 15 | 2020 |
| Mitigating over-smoothing and over-squashing using augmentations of Forman-Ricci curvature L Fesser, M Weber Learning on Graphs Conference, 2023 | 13 | 2023 |
| Global optimality for Euclidean CCCP under Riemannian convexity M Weber, S Sra International Conference on Machine Learning, 2023 | 12* | 2023 |
| Augmentations of Forman’s Ricci curvature and their applications in community detection L Fesser, SS de Haro Ivánez, K Devriendt, M Weber, R Lambiotte Journal of Physics: Complexity 5 (3), 035010, 2024 | 11 | 2024 |
| Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0 EE Groth, M Weber, T Bahmer, F Pedersen, A Kirsten, D Börnigen, ... Respiratory Research 21, 274, 2020 | 10 | 2020 |
| Detecting the Coarse Geometry of Networks M Weber, J Jost, E Saucan NeurIPS Relational Representation Learning, 2018 | 10 | 2018 |
| On the hardness of learning under symmetries BT Kiani, T Le, H Lawrence, S Jegelka, M Weber International Conference on Learning Representations, 2024 | 8 | 2024 |
| Curvature-based clustering on graphs Y Tian, Z Lubberts, M Weber arXiv preprint arXiv:2307.10155, 2023 | 8 | 2023 |
| Computing Brascamp-Lieb constants through the lens of Thompson geometry M Weber, S Sra arXiv preprint arXiv:2208.05013, 2022 | 8 | 2022 |
Jürgen JostDirector, Max Planck Institute for Mathematics in the Sciences在 mis.mpg.de 的电子邮件经过验证
