Melanie Weber

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Community Detection

Global Optimality

Convex Optimization

Top Venues

J. Complex Networks

Publications

Melanie Weber
Exploiting Data Geometry in Machine Learning. AAAI (2024)
Lukas Fesser, Melanie Weber
Effective Structural Encodings via Local Curvature Profiles. ICLR (2024)
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
On the hardness of learning under symmetries. ICLR (2024)
Andrew Cheng, Vaibhav Dixit, Melanie Weber
Disciplined Geodesically Convex Programming. CoRR (2024)
Amy Feng, Melanie Weber
Graph Pooling via Ricci Flow. CoRR (2024)
Bobak T. Kiani, Jason Wang, Melanie Weber
Hardness of Learning Neural Networks under the Manifold Hypothesis. CoRR (2024)
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
On the hardness of learning under symmetries. CoRR (2024)
Lukas Fesser, Sergio Serrano de Haro Iváñez, Karel Devriendt, Melanie Weber, Renaud Lambiotte
Augmentations of Forman's Ricci Curvature and their Applications in Community Detection. CoRR (2023)
Lukas Fesser, Melanie Weber
Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature. LoG (2023)
Nicolás García Trillos, Melanie Weber
Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds. CoRR (2023)
Lukas Fesser, Melanie Weber
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature. CoRR (2023)
Melanie Weber, Suvrit Sra
Riemannian Optimization via Frank-Wolfe Methods. Math. Program. 199 (1) (2023)
Melanie Weber, Suvrit Sra
Global optimality for Euclidean CCCP under Riemannian convexity. ICML (2023)
Yu Tian, Zachary Lubberts, Melanie Weber
Curvature-based Clustering on Graphs. CoRR (2023)
Lukas Fesser, Melanie Weber
Effective Structural Encodings via Local Curvature Profiles. CoRR (2023)
Suvrit Sra, Melanie Weber
On a class of geodesically convex optimization problems solved via Euclidean MM methods. CoRR (2022)
Melanie Weber, Suvrit Sra
Computing Brascamp-Lieb Constants through the lens of Thompson Geometry. CoRR (2022)
Wenyue Hua, Yuchen Zhang, Zhe Chen, Josie Li, Melanie Weber
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension. CoRR (2022)
Yu Tian, Zachary Lubberts, Melanie Weber
Mixed-membership community detection via line graph curvature. NeurReps (2022)
Jackson Sargent, Melanie Weber
Identifying biases in legal data: An algorithmic fairness perspective. CoRR (2021)
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Robust Large-Margin Learning in Hyperbolic Space. CoRR (2020)
Melanie Weber
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning. AISTATS (2020)
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Robust large-margin learning in hyperbolic space. NeurIPS (2020)
Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber
The Oracle of DLphi. CoRR (2019)
Melanie Weber, Suvrit Sra
Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods. CoRR (2019)
Melanie Weber
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning. CoRR (2019)
F. Patricia Medina, Linda Ness, Melanie Weber, Karamatou Yacoubou Djima
Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis. CoRR (2018)
Emil Saucan, Melanie Weber
Forman's Ricci curvature - From networks to hypernetworks. CoRR (2018)
Melanie Weber, Emil Saucan, Jürgen Jost
Coarse geometry of evolving networks. J. Complex Networks 6 (5) (2018)
Emil Saucan, Melanie Weber
Forman's Ricci Curvature - From Networks to Hypernetworks. COMPLEX NETWORKS (1) (2018)
Melanie Weber, Emil Saucan, Jürgen Jost
Characterizing complex networks with Forman-Ricci curvature and associated geometric flows. J. Complex Networks 5 (4) (2017)
Melanie Weber, Johannes Stelzer, Emil Saucan, Alexander Naitsat, Gabriele Lohmann, Jürgen Jost
Curvature-based Methods for Brain Network Analysis. CoRR (2017)
Melanie Weber, Suvrit Sra
Frank-Wolfe methods for geodesically convex optimization with application to the matrix geometric mean. CoRR (2017)
Sara Ballouz, Melanie Weber, Paul Pavlidis, Jesse A. Gillis
EGAD: ultra-fast functional analysis of gene networks. Bioinform. 33 (4) (2017)
Melanie Weber, Emil Saucan, Jürgen Jost
Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows. CoRR (2016)
Melanie Weber, Jürgen Jost, Emil Saucan
Forman-Ricci flow for change detection in large dynamic data sets. CoRR (2016)
Melanie Weber, Jürgen Jost, Emil Saucan
Forman-Ricci Flow for Change Detection in Large Dynamic Data Sets. Axioms 5 (4) (2016)
Melanie Weber, Emil Saucan, Jürgen Jost
Can one see the shape of a network? CoRR (2016)