Ron Levie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Wavelet Transform

Top Venues

Publications

Sohir Maskey, Gitta Kutyniok, Ron Levie
Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR (2024)
Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
Learning on Large Graphs using Intersecting Communities. CoRR (2024)
Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR (2024)
Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka
Future Directions in Foundations of Graph Machine Learning. CoRR (2024)
Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Fine-grained Expressivity of Graph Neural Networks. CoRR (2023)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Overview of the Urban Wireless Localization Competition. MLSP (2023)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR (2023)
Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Fine-grained Expressivity of Graph Neural Networks. NeurIPS (2023)
Ron Levie
A graphon-signal analysis of graph neural networks. CoRR (2023)
Ron Levie
A graphon-signal analysis of graph neural networks. NeurIPS (2023)
Ningyuan Huang, Ron Levie, Soledad Villar
Approximately Equivariant Graph Networks. CoRR (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
The First Pathloss Radio Map Prediction Challenge. CoRR (2023)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the sampling density in non-uniform geometric graphs. ICLR (2023)
Ningyuan Huang, Ron Levie, Soledad Villar
Approximately Equivariant Graph Networks. NeurIPS (2023)
Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
The First Pathloss Radio Map Prediction Challenge. ICASSP (2023)
Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS (2022)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR (2022)
Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
Explaining Image Classifiers with Multiscale Directional Image Representation. CoRR (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. CoRR (2022)
Sohir Maskey, Yunseok Lee, Ron Levie, Gitta Kutyniok
Stability and Generalization Capabilities of Message Passing Graph Neural Networks. CoRR (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Dataset of Pathloss and ToA Radio Maps With Localization Application. CoRR (2022)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
Cartoon Explanations of Image Classifiers. ECCV (12) (2022)
Ron Levie, Haim Avron
Randomized continuous frames in time-frequency analysis. Adv. Comput. Math. 48 (3) (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. ICASSP (2022)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire
On the Effective Usage of Priors in RSS-based Localization. CoRR (2022)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR (2022)
Ron Levie, Wei Huang, Lorenzo Bucci, Michael Bronstein, Gitta Kutyniok
Transferability of Spectral Graph Convolutional Neural Networks. J. Mach. Learn. Res. 22 (2021)
Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie
Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. CoRR (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Black-box Model Decisions. CoRR (2021)
Sohir Maskey, Ron Levie, Gitta Kutyniok
Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR (2021)
Ron Levie, Efrat Krimer Avraham, Nir A. Sochen
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. CoRR (2021)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. CoRR (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
Cartoon Explanations of Image Classifiers. CoRR (2021)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE Trans. Wirel. Commun. 20 (6) (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Black-Box Model Decisions. xxAI@ICML (2020)
Ron Levie, Haim Avron, Gitta Kutyniok
Quasi Monte Carlo Time-Frequency Analysis. CoRR (2020)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-time Localization Using Radio Maps. CoRR (2020)
Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
In-Distribution Interpretability for Challenging Modalities. CoRR (2020)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP (2020)
Ron Levie, Haim Avron
Randomized Continuous Frames in Time-Frequency Analysis. CoRR (2020)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. CoRR (2019)
Ron Levie, Elvin Isufi, Gitta Kutyniok
On the Transferability of Spectral Graph Filters. CoRR (2019)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. 67 (1) (2019)
Ron Levie, Michael M. Bronstein, Gitta Kutyniok
Transferability of Spectral Graph Convolutional Neural Networks. CoRR (2019)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR (2017)
Ron Levie, Nir A. Sochen
A wavelet Plancherel theory with application to sparse continuous wavelet transform. CoRR (2017)
Ron Levie, Nir A. Sochen
Uncertainty principles and optimally sparse wavelet transforms. CoRR (2017)
Ron Levie, Hans-Georg Stark, Florian Lieb, Nir A. Sochen
Adjoint translation, adjoint observable and uncertainty principles. Adv. Comput. Math. 40 (3) (2014)
Daniel Lantzberg, Florian Lieb, Hans-Georg Stark, Ron Levie, Nir A. Sochen
Uncertainty principles, minimum uncertainty samplings and translations. EUSIPCO (2012)