Ron Levie

According to our database, Ron Levie authored at least 39 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities.

Daniel Zilberg, Ron Levie

CoRR, 2024

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters.

Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

CoRR, 2024

Learning on Large Graphs using Intersecting Communities.

Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie

CoRR, 2024

Generalization Bounds for Message Passing Networks on Mixture of Graphons.

Sohir Maskey, Gitta Kutyniok, Ron Levie

CoRR, 2024

Future Directions in Foundations of Graph Machine Learning.

Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., December, 2023

A graphon-signal analysis of graph neural networks.

Ron Levie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Approximately Equivariant Graph Networks.

Ningyuan Huang, Ron Levie, Soledad Villar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fine-grained Expressivity of Graph Neural Networks.

Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overview of the Urban Wireless Localization Competition.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Unveiling the sampling density in non-uniform geometric graphs.

Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Memorization-Dilation: Modeling Neural Collapse Under Noise.

Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The First Pathloss Radio Map Prediction Challenge.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2023

Explaining Image Classifiers with Multiscale Directional Image Representation.

Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dataset of Pathloss and ToA Radio Maps with Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Dataset, December, 2022

Dataset of Pathloss and ToA Radio Maps With Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2022

On the Effective Usage of Priors in RSS-based Localization.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire

CoRR, 2022

Randomized continuous frames in time-frequency analysis.

Ron Levie, Haim Avron

Adv. Comput. Math., 2022

Generalization Analysis of Message Passing Neural Networks on Large Random Graphs.

Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2022

Cartoon Explanations of Image Classifiers.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., 2021

Transferability of Spectral Graph Convolutional Neural Networks.

Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok

J. Mach. Learn. Res., 2021

Transferability of Graph Neural Networks: an Extended Graphon Approach.

Sohir Maskey, Ron Levie, Gitta Kutyniok

CoRR, 2021

Existence of Uncertainty Minimizers for the Continuous Wavelet Transform.

Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie

CoRR, 2021

Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach.

Ron Levie, Efrat Krimer Avraham, Nir A. Sochen

CoRR, 2021

2020

Quasi Monte Carlo Time-Frequency Analysis.

Ron Levie, Haim Avron, Gitta Kutyniok

CoRR, 2020

In-Distribution Interpretability for Challenging Modalities.

Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna

CoRR, 2020

Real-time Localization Using Radio Maps.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2020

A Rate-Distortion Framework for Explaining Black-Box Model Decisions.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the xxAI - Beyond Explainable AI, 2020

Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters.

Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein

IEEE Trans. Signal Process., 2019

Transferability of Spectral Graph Convolutional Neural Networks.

Ron Levie, Michael M. Bronstein, Gitta Kutyniok

CoRR, 2019

On the Transferability of Spectral Graph Filters.

Ron Levie, Elvin Isufi, Gitta Kutyniok

CoRR, 2019

2017

A wavelet Plancherel theory with application to sparse continuous wavelet transform.

Ron Levie, Nir A. Sochen

CoRR, 2017

Uncertainty principles and optimally sparse wavelet transforms.

Ron Levie, Nir A. Sochen

CoRR, 2017

2014

Adjoint translation, adjoint observable and uncertainty principles.

Ron Levie, Hans-Georg Stark, Florian Lieb, Nir A. Sochen

Adv. Comput. Math., 2014

2012

Uncertainty principles, minimum uncertainty samplings and translations.

Daniel Lantzberg, Florian Lieb, Hans-Georg Stark, Ron Levie, Nir A. Sochen

Proceedings of the 20th European Signal Processing Conference, 2012