Ron Levie
15 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (19) 🔬 Deep Specialist (11)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(61)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(12)
Architectures
(11)
Optimization & Theory · Machine Learning
(9)
Core Methods
(6)
Knowledge & Reasoning
(2)
Representation
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Core AI
(1)
Foundations
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
graph neural network
(10)
message passing
(4)
generalization bound
(3)
generalization
(2)
universal approximation
(2)
message passing neural network
(2)
self-supervised learning
(1)
optimal transport
(1)
feature learning
(1)
community detection
(1)
label smoothing
(1)
optimization
(1)
human pose estimation
(1)
uniform convergence
(1)
graph learning
(1)
image inpainting
(1)
expressive power
(1)
feature embedding
(1)
lipschitz continuity
(1)
graph regularization
(1)
Papers
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
ICLR 2025
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
ICML 2025
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
NeurIPS 2024
Learning on Large Graphs using Intersecting Communities
NeurIPS 2024
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
A graphon-signal analysis of graph neural networks
NeurIPS 2023
Approximately Equivariant Graph Networks
NeurIPS 2023
Explaining Image Classifiers With Multiscale Directional Image Representation
CVPR 2023
Fine-grained Expressivity of Graph Neural Networks
NeurIPS 2023
Memorization-Dilation: Modeling Neural Collapse Under Noise
ICLR 2023
Unveiling the sampling density in non-uniform geometric graphs
ICLR 2023
Cartoon Explanations of Image Classifiers
ECCV 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NeurIPS 2022
Transferability of Spectral Graph Convolutional Neural Networks
JMLR 2021