Weber, Melanie

19 publications

ICLR 2026 Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry Behrooz Tahmasebi, Melanie Weber

ICLR 2026 Priors in Time: Missing Inductive Biases for Language Model Interpretability Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Greta Tuckute, Daniel Wurgaft, Eric Bigelow, Demba E. Ba, Melanie Weber, Aaron Mueller

ICLRW 2025 Augmenting X-Ray Astronomical Representations with Scientific Knowledge Through Contrastive Learning Juan Rafael Martínez-Galarza, Nicolò Oreste Pinciroli Vago, Shivam Raval, Carolina Cuesta-Lazaro, Melanie Weber, David Alvarez-Melis, Alberto Accomazzi, Cecilia Garraffo, Joshua Knutson, Ryan Thill, Christopher B. Green, Imantha Ahangama

JMLR 2025 Curvature-Based Clustering on Graphs Yu Tian, Zachary Lubberts, Melanie Weber

NeurIPS 2025 Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings Raphaël Pellegrin, Lukas Fesser, Melanie Weber

ICLR 2025 Lie Algebra Canonicalization: Equivariant Neural Operators Under Arbitrary Lie Groups Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb

ICLRW 2024 Contrastive Poincaré Maps for Single-Cell Data Analysis Nithya Bhasker, Hattie Chung, Louis Boucherie, Vladislav Kim, Stefanie Speidel, Melanie Weber

ICLR 2024 Effective Structural Encodings via Local Curvature Profiles Lukas Fesser, Melanie Weber

AAAI 2024 Exploiting Data Geometry in Machine Learning Melanie Weber

TMLR 2024 Graph Pooling via Ricci Flow Amy Feng, Melanie Weber

NeurIPS 2024 Hardness of Learning Neural Networks Under the Manifold Hypothesis Bobak T. Kiani, Jason Wang, Melanie Weber

ICLR 2024 On the Hardness of Learning Under Symmetries Bobak Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber

NeurIPSW 2024 Structured Regularization on the SPD Manifold Andrew Nicholas Cheng, Melanie Weber

NeurIPS 2024 Unitary Convolutions for Learning on Graphs and Groups Bobak T. Kiani, Lukas Fesser, Melanie Weber

ICML 2023 Global Optimality for Euclidean CCCP Under Riemannian Convexity Melanie Weber, Suvrit Sra

LoG 2023 Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature Lukas Fesser, Melanie Weber

NeurIPSW 2022 Mixed-Membership Community Detection via Line Graph Curvature Yu Tian, Zachary Lubberts, Melanie Weber

AISTATS 2020 Neighborhood Growth Determines Geometric Priors for Relational Representation Learning Melanie Weber

NeurIPS 2020 Robust Large-Margin Learning in Hyperbolic Space Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya K Menon, Sanjiv Kumar