A full publication list can be found on Google Scholar.
Publicly available code repositories can be found on our group GitHub.
Selected Works
- N Bhasker, H Chung, L Boucherie, V Kim, S Speidel, M Weber: Contrastive Poincaré Maps for single-cell data analysis ICLR MLGenX 2024
- B Kiani, T Le, H Lawrence, S Jegelka, M Weber: On the Hardness of Learning under Symmetries ICLR 2024 (spotlight, top 5% of submissions)
- L Fesser, M Weber: Effective Structural Encodings via Local Curvature Profiles ICLR 2024
- L Fesser, M Weber: Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Learning on Graphs 2023
- NG Trillos, M Weber: Continuum Limits of Ollivier’s Ricci Curvature on data clouds: pointwise consistency and global lower bounds Under Review (2023). arXiv:2307.02378
- Y Tian, Z Lubberts, M Weber: Curvature-based Clustering on Graphs Under Review (2023). arXiv:2307.10155
- M Weber, S Sra: Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023
- M Weber, S Sra: Riemannian Optimization via Frank-Wolfe Methods Mathematical Programming 2022
- M Weber, S Sra: Projection-free nonconvex stochastic optimization on Riemannian manifolds IMA Numerical Analysis 2021
- M Weber, M Zaheer, AS Rawat, A Menon, S Kumar: Robust Large-Margin Learning in Hyperbolic Space NeurIPS 2020
- M Weber: Neighborhood Growth Determines Geometric Priors for Relational Representation Learning AISTATS 2020
- M Weber, E Saucan, J Jost: Coarse Geometry of Evolving Networks Journal of Complex Networks 2018
- M Weber, E Saucan, J Jost: Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows Journal of Complex Networks 2017