| 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 | 91 | 2017 |
| EGAD: Ultra-fast functional analysis of gene networks S Ballouz, M Weber, P Pavlidis, J Gillis Bioinformatics 33 (4), 612-614, 2016 | 69 | 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 | 50 | 2016 |
| Projection-free nonconvex stochastic optimization on Riemannian manifolds M Weber, S Sra IMA Journal of Numerical Analysis 42 (4), 3241–3271, 2021 | 40* | 2021 |
| Coarse Geometry of Evolving Networks M Weber, E Saucan, J Jost Journal of Complex Networks 6 (5), 706--732, 2018 | 40* | 2018 |
| Riemannian Optimization via Frank-Wolfe Methods M Weber, S Sra Mathematical Programming, 2022 | 38* | 2022 |
| Discrete Curvatures and Network Analysis E Saucan, A Samal, M Weber, J Jost MATCH 80 (3), 605-622, 2018 | 35 | 2018 |
| Forman's Ricci curvature - From networks to hypernetworks E Saucan, M Weber Complex Networks and Their Applications VII. Studies in Computational …, 2019 | 28* | 2019 |
| 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 | 27 | 2020 |
| Curvature-based Methods for Brain Network Analysis M Weber, J Stelzer, E Saucan, A Naitsat, G Lohmann, J Jost arXiv:1707.00180, 2017 | 25 | 2017 |
| Neighborhood Growth Determines Geometric Priors for Relational Representation Learning M Weber International Conference on Artificial Intelligence and Statistics 108, 266-276, 2020 | 15 | 2020 |
| Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data M Weber, M Nickel NeurIPS Relational Representation Learning, 2018 | 15 | 2018 |
| Detecting the Coarse Geometry of Networks M Weber, J Jost, E Saucan NeurIPS Relational Representation Learning, 2018 | 9 | 2018 |
| Augmentations of Forman's Ricci Curvature and their Applications in Community Detection L Fesser, SSH Iváñez, K Devriendt, M Weber, R Lambiotte arXiv preprint arXiv:2306.06474, 2023 | 8 | 2023 |
| Optimal control with learning on the fly: a toy problem CL Fefferman, B Guillen Pegueroles, CW Rowley, M Weber Revista Matematica Iberoamericana 38 (1), 175–187, 2022 | 7 | 2022 |
| 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 | 7 | 2020 |
| Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model M Weber, PD Maia, JN Kutz Frontiers in Neuroscience 11, 623, 2017 | 7 | 2017 |
| Global optimality for Euclidean CCCP under Riemannian convexity M Weber, S Sra International Conference on Machine Learning, 2023 | 6* | 2023 |
| Heuristic framework for multiscale testing of the multi-manifold hypothesis FP Medina, L Ness, M Weber, KY Djima Research in Data Science, 47-80, 2019 | 6 | 2019 |
| Curvature-based clustering on graphs Y Tian, Z Lubberts, M Weber arXiv preprint arXiv:2307.10155, 2023 | 5 | 2023 |
Jürgen JostDirector, Max Planck Institute for Mathematics in the Sciences在 mis.mpg.de 的电子邮件经过验证
