Melanie Weber
12 papers · 2020–2026 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver
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Machine Learning
(9)
Deep Learning
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Optimization & Theory · Machine Learning
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Mathematics & Optimization
(4)
Mathematics
(4)
Optimization & Theory · Deep Learning
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Artificial Intelligence
(1)
Data Science & Analytics
(1)
Natural Language Processing
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Keywords
representation learning
(3)
graph neural network
(3)
discrete curvature
(2)
learning theory
(2)
hyperbolic space
(2)
data augmentation
(1)
community detection
(1)
graph clustering
(1)
geometric deep learning
(1)
perceptron algorithm
(1)
convex optimization
(1)
neural network optimization
(1)
statistical query
(1)
nearest neighbor
(1)
concave-convex procedure
(1)
fourier analysis
(1)
manifold optimization
(1)
geometric structure
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complexity bound
(1)
large margin classifier
(1)
Papers
Data Augmentation: A Fourier Analysis Perspective
COLT 2026
Curvature-based Clustering on Graphs
JMLR 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
ICLR 2025
Effective Structural Encodings via Local Curvature Profiles
ICLR 2024
Exploiting Data Geometry in Machine Learning
AAAI 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis
NeurIPS 2024
On the hardness of learning under symmetries
ICLR 2024
Unitary Convolutions for Learning on Graphs and Groups
NeurIPS 2024
Global optimality for Euclidean CCCP under Riemannian convexity
ICML 2023
Mixed-domain Language Modeling for Processing Long Legal Documents
EMNLP 2023
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
AISTATS 2020
Robust large-margin learning in hyperbolic space
NeurIPS 2020