| 2025 | ICLR | Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs. | Levi Rauchwerger, Stefanie Jegelka, Ron Levie |
| 2025 | ICML | Covered Forest: Fine-grained generalization analysis of graph neural networks. | Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris |
| 2025 | ICML | PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities. | Daniel Zilberg, Ron Levie |
| 2024 | ICML | 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 |
| 2023 | CVPR | Explaining Image Classifiers with Multiscale Directional Image Representation. | Stefan Kolek, Robert Windesheim, Hctor Andrade-Loarca, Gitta Kutyniok, Ron Levie |
| 2023 | ICASSP | The First Pathloss Radio Map Prediction Challenge. | agkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire |
| 2023 | ICLR | Memorization-Dilation: Modeling Neural Collapse Under Noise. | Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hllermeier, Gitta Kutyniok |
| 2023 | ICLR | Unveiling the sampling density in non-uniform geometric graphs. | Raffaele Paolino, Aleksandar Bojchevski, Stephan Gnnemann, Gitta Kutyniok, Ron Levie |
| 2022 | ECCV | Cartoon Explanations of Image Classifiers. | Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok |
| 2022 | ICASSP | LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. | agkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire |
| 2020 | ICASSP | Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. | Ron Levie, agkan Yapar, Gitta Kutyniok, Giuseppe Caire |
| 2020 | ICML | A Rate-Distortion Framework for Explaining Black-Box Model Decisions. | Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok |