Publications

A. Cheng, M. Weber (2024). Structured Regularization for Constrained Optimization on the SPD Manifold. Under Review.

Project

B. T. Kiani, L. Fesser, M. Weber (2024). Unitary convolutions for learning on graphs and groups. NeurIPS (spotlight).

PDF Project

Z. Shumaylov, P. Zaika, J. Rowbottom, F. Sherry, M. Weber, C.-B. Schönlieb (2024). Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. Under Review.

PDF Project

A. Cheng, V. Dixit, M. Weber (2024). Disciplined Geodesically Convex Programming. Under Review.

Preprint Project

A. Feng, M. Weber (2024). Graph Pooling via Ricci Flow. Under Review.

PDF Project

B. T. Kiani, J. Wang, M. Weber (2024). Hardness of Learning Neural Networks under the Manifold Hypothesis. NeurIPS (spotlight).

PDF Project

N. Bhasker, H. Chung, L. Boucherie, V. Kim, S. Speidel, M. Weber (2024). Contrastive Poincaré Maps for single-cell data analysis. ICLR MLGenX.

PDF Project

B. T. Kiani, T. Le, H. Lawrence, S. Jegelka, M. Weber (2024). On the Hardness of Learning under Symmetries. ICLR (spotlight).

PDF Project

L. Fesser, M. Weber (2024). Effective Structural Encodings via Local Curvature Profiles. ICLR.

PDF Project

L. Fesser, M. Weber (2023). Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature. Learning on Graphs.

PDF Project

Y. Tian, Z. Lubberts, M. Weber (2023). Curvature-based Clustering on Graphs. Under Review.

PDF Project

M. Weber, P. Bachman (2023). Sampling Informative Positives Pairs in Contrastive Learning. SampTA.

PDF Project

N. García Trillos, M. Weber (2023). Continuum Limits of Ollivier’s Ricci Curvature on data clouds: pointwise consistency and global lower bounds. Under Review.

PDF Project

L. Fesser, S. Serrano de Haro Iváñez, K. Devriendt, M. Weber, R. Lambiotte (2023). Augmentations of Forman's Ricci Curvature and their Applications in Community Detection. J. Physics: Complexity.

PDF Project

M. Weber, S. Sra (2023). Global optimality for Euclidean CCCP under Riemannian convexity. ICML.

Preprint Project

W. Hua, Y. Zhang, Z. Chen, J. Li, M. Weber (2022). LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension. NLLP.

PDF

J. Carruth, M. F. Eggl, C. Fefferman, C. W. Rowley, M. Weber (2022). Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret. Rev. Mat. Iberoamericana.

Preprint PDF Project

Y. Tian, Z. Lubberts, M. Weber (2022). Mixed-Membership Community Detection via Line Graph Curvature. Symmetry and Geometry in Neural Representations.

PDF Project

M. Weber, S. Sra (2022). Computing Brascamp-Lieb Constants through the lens of Thompson Geometry. Under Review.

Preprint Project

M. Weber, S. Sra (2022). Riemannian Optimization via Frank-Wolfe Methods. Mathematical Programming.

PDF Code Project Video

J. Sargent, M. Weber (2021). Identifying biases in legal data: An algorithmic fairness perspective. ACM EAAMO.

Preprint

M. Weber, S. Sra (2021). Projection-free nonconvex stochastic optimization on Riemannian manifolds. IMA Journal of Numerical Analysis.

Preprint PDF Project

C. Fefferman, B. Guillen Pegueroles, C. W. Rowley, M. Weber (2021). Optimal control with learning on the fly. Rev. Mat. Iberoamericana.

Preprint PDF Project

M. Weber (2021). On Geometric Optimization, Learning and Control. PhD Thesis, Princeton University.

PDF

M. Weber, M. Zaheer, A. Singh Rawat, A. Menon, S. Kumar (2020). Robust Large-Margin Learning in Hyperbolic Space. NeurIPS.

Preprint PDF Project Video

E. E. Groth, M. Weber, T. Bahmer, F. Pedersen, A. Kirsten, D. Börnigen, K. F. Rabe, H. Watz, O. Ammerpohl, T. Goldmann (2020). 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. Respiratory Research.

PDF

M. Weber (2020). Neighborhood Growth Determines Geometric Priors for Relational Representation Learning. AISTATS.

Preprint PDF Project Video

E. Saucan, M. Weber (2019). Forman's Ricci curvature - From networks to hypernetworks. Complex Networks and Their Applications.

Preprint PDF Project

M. Weber, J. Jost, E. Saucan (2018). Detecting the Coarse Geometry of Networks. NeurIPS R2L.

Preprint Project

M. Weber, M. Nickel (2018). Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data. NeurIPS R2L.

PDF Project

M. Weber, E. Saucan, J. Jost (2018). Coarse Geometry of Evolving Networks. Journal of Complex Networks.

Preprint PDF Project

E. Saucan, A. Samal, M. Weber, J. Jost (2018). Discrete Curvatures and Network Analysis. MATCH.

PDF Project

M. Weber, E. Saucan, J. Jost (2017). Characterizing complex networks with Forman-Ricci curvature and associated geometric flows. Journal of Complex Networks.

Preprint PDF Project

M. Weber, P. M. Maia, J. N. Kutz (2017). Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model. Frontiers in Neuroscience.

Preprint PDF Code

M. Weber, J. Stelzer, E. Saucan, A. Naitsat, G. Lohmann, J. Jost (2017). Curvature-based Methods for Brain Network Analysis. Technical Report.

Preprint Project

S. Ballouz *, M. Weber, P. Pavlidis, J. Gillis (2016). EGAD: Ultra-fast Functional Analysis of Gene Networks. Bioinformatics.

Preprint PDF Code

M. Weber (2016). Event Classification with Convolutional Neural Networks for Diboson Channels in the ATLAS Experiment at the Large Hadron Collider. Undergraduate Thesis, TU Dresden.

M. Weber (2016). Forman-Ricci Curvature and Associated Geometric Flows for Complex Networks. Undergraduate Thesis, U Leipzig.

Project

M. Weber, J. Jost, E. Saucan (2016). Forman-Ricci Flow for Change Detection in Large Dynamic Data Sets. Axioms.

Preprint PDF Project