Ron Levie - RankMe

69 papers A* 13Misc 3Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation. CoRR Ofek Amran, Tom Gilat, Ron Levie
2026	J	`jnl`	Dense Neural Networks are not Universal Approximators. CoRR Levi Rauchwerger, Stefanie Jegelka, Ron Levie
2026	J	`jnl`	Position: Message-passing and spectral GNNs are two sides of the same coin. CoRR Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, Pierre Vandergheynst, Zhiyang Wang, Guy Wolf, Ron Levie
2025	J	`jnl`	A Note on Graphon-Signal Analysis of Graph Neural Networks. CoRR Levi Rauchwerger, Ron Levie
2025	J	`jnl`	Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks. CoRR Ya-Wei Eileen Lin, Ron Levie
2025	A*	`conf`	Covered Forest: Fine-grained generalization analysis of graph neural networks. ICML Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris
2025	J	`jnl`	Efficient Learning on Large Graphs using a Densifying Regularity Lemma. CoRR Jonathan Kouchly, Ben Finkelshtein, Michael M. Bronstein, Ron Levie
2025	J	`jnl`	Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models. CoRR Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
2025	J	`jnl`	Generalization Bounds for Message Passing Networks on Mixture of Graphons. SIAM J. Math. Data Sci. Sohir Maskey, Gitta Kutyniok, Ron Levie
2025	A*	`conf`	Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs. ICLR Levi Rauchwerger, Stefanie Jegelka, Ron Levie
2025	A*	`conf`	PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities. ICML Daniel Zilberg, Ron Levie
2025	J	`jnl`	Survey on Generalization Theory for Graph Neural Networks. CoRR Antonis Vasileiou, Stefanie Jegelka, Ron Levie, Christopher Morris
2024	J	`jnl`	Covered Forest: Fine-grained generalization analysis of graph neural networks. CoRR Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris
2024	A*	`conf`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. NeurIPS Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Future Directions in Foundations of Graph Machine Learning. CoRR Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka
2024	J	`jnl`	Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR Sohir Maskey, Gitta Kutyniok, Ron Levie
2024	J	`jnl`	Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs. CoRR Levi Rauchwerger, Stefanie Jegelka, Ron Levie
2024	A*	`conf`	Learning on Large Graphs using Intersecting Communities. NeurIPS Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
2024	J	`jnl`	Learning on Large Graphs using Intersecting Communities. CoRR Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
2024	J	`jnl`	PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities. CoRR Daniel Zilberg, Ron Levie
2024	A*	`conf`	Position: Future Directions in the Theory of Graph Machine Learning. ICML Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka
2023	A*	`conf`	A graphon-signal analysis of graph neural networks. NeurIPS Ron Levie
2023	J	`jnl`	A graphon-signal analysis of graph neural networks. CoRR Ron Levie
2023	A*	`conf`	Approximately Equivariant Graph Networks. NeurIPS Ningyuan Huang, Ron Levie, Soledad Villar
2023	J	`jnl`	Approximately Equivariant Graph Networks. CoRR Ningyuan Huang, Ron Levie, Soledad Villar
2023	A*	`conf`	Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
2023	A*	`conf`	Fine-grained Expressivity of Graph Neural Networks. NeurIPS Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
2023	J	`jnl`	Fine-grained Expressivity of Graph Neural Networks. CoRR Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
2023	A*	`conf`	Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
2023	—	`conf`	Overview of the Urban Wireless Localization Competition. MLSP Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	J	`jnl`	Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE Trans. Wirel. Commun. Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	Misc	`conf`	The First Pathloss Radio Map Prediction Challenge. ICASSP Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	J	`jnl`	The First Pathloss Radio Map Prediction Challenge. CoRR Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	A*	`conf`	Unveiling the sampling density in non-uniform geometric graphs. ICLR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2022	—	`conf`	Cartoon Explanations of Image Classifiers. ECCV (12) Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2022	J	`jnl`	Dataset of Pathloss and ToA Radio Maps With Localization Application. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	Explaining Image Classifiers with Multiscale Directional Image Representation. CoRR Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
2022	A*	`conf`	Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
2022	J	`jnl`	Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. CoRR Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
2022	Misc	`conf`	LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. ICASSP Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
2022	J	`jnl`	On the Effective Usage of Priors in RSS-based Localization. CoRR Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire
2022	J	`jnl`	Randomized continuous frames in time-frequency analysis. Adv. Comput. Math. Ron Levie, Haim Avron
2022	J	`jnl`	Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2021	J	`jnl`	A Rate-Distortion Framework for Explaining Black-box Model Decisions. CoRR Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2021	J	`jnl`	Cartoon Explanations of Image Classifiers. CoRR Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2021	J	`jnl`	Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. CoRR Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie
2021	J	`jnl`	RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE Trans. Wirel. Commun. Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2021	J	`jnl`	Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2021	J	`jnl`	Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR Sohir Maskey, Ron Levie, Gitta Kutyniok
2021	J	`jnl`	Transferability of Spectral Graph Convolutional Neural Networks. J. Mach. Learn. Res. Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok
2021	J	`jnl`	Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. CoRR Ron Levie, Efrat Krimer Avraham, Nir A. Sochen
2020	—	`conf`	A Rate-Distortion Framework for Explaining Black-Box Model Decisions. xxAI@ICML Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2020	J	`jnl`	In-Distribution Interpretability for Challenging Modalities. CoRR Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
2020	Misc	`conf`	Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2020	J	`jnl`	Quasi Monte Carlo Time-Frequency Analysis. CoRR Ron Levie, Haim Avron, Gitta Kutyniok
2020	J	`jnl`	Randomized Continuous Frames in Time-Frequency Analysis. CoRR Ron Levie, Haim Avron
2020	J	`jnl`	Real-time Localization Using Radio Maps. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2019	J	`jnl`	CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2019	J	`jnl`	On the Transferability of Spectral Graph Filters. CoRR Ron Levie, Elvin Isufi, Gitta Kutyniok
2019	J	`jnl`	RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. CoRR Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2019	J	`jnl`	Transferability of Spectral Graph Convolutional Neural Networks. CoRR Ron Levie, Michael M. Bronstein, Gitta Kutyniok
2017	J	`jnl`	A wavelet Plancherel theory with application to sparse continuous wavelet transform. CoRR Ron Levie, Nir A. Sochen
2017	J	`jnl`	CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2017	J	`jnl`	Uncertainty principles and optimally sparse wavelet transforms. CoRR Ron Levie, Nir A. Sochen
2014	J	`jnl`	Adjoint translation, adjoint observable and uncertainty principles. Adv. Comput. Math. Ron Levie, Hans-Georg Stark, Florian Lieb, Nir A. Sochen
2012	—	`conf`	Uncertainty principles, minimum uncertainty samplings and translations. EUSIPCO Daniel Lantzberg, Florian Lieb, Hans-Georg Stark, Ron Levie, Nir A. Sochen