Levie, Ron

16 publications

ICML 2025 Covered Forest: Fine-Grained Generalization Analysis of Graph Neural Networks Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris

NeurIPS 2025 Equivariance Everywhere All at Once: A Recipe for Graph Foundation Models Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie

ICLR 2025 Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs Levi Rauchwerger, Stefanie Jegelka, Ron Levie

ICML 2025 PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg, Ron Levie

NeurIPS 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

NeurIPS 2024 Learning on Large Graphs Using Intersecting Communities Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie

ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

NeurIPS 2023 A Graphon-Signal Analysis of Graph Neural Networks Ron Levie

NeurIPS 2023 Approximately Equivariant Graph Networks Ningyuan Huang, Ron Levie, Soledad Villar

CVPR 2023 Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek, Robert Windesheim, Hector Andrade-Loarca, Gitta Kutyniok, Ron Levie

NeurIPS 2023 Fine-Grained Expressivity of Graph Neural Networks Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris

ICLR 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok

ICLR 2023 Unveiling the Sampling Density in Non-Uniform Geometric Graphs Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie

ECCV 2022 Cartoon Explanations of Image Classifiers Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

NeurIPS 2022 Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok

JMLR 2021 Transferability of Spectral Graph Convolutional Neural Networks Ron Levie, Wei Huang, Lorenzo Bucci, Michael Bronstein, Gitta Kutyniok