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Publications
| Nr. | Title |
|---|---|
| 1 | R. Levie, M. Bronstein, and G. Kutyniok. Transferability of Spectral Graph Convolutional Neural Networks. Preprint (2019) |
| 2 | R. Levie and H. Avron Stochastic Phase space Signal Processing with Application to Localizing Phase Vocoder Submitted (2018) |
| 3 | R. Levie and N. Sochen A Wavelet Plancherel Theory with Application to Sparse Continuous Wavelet Transform Preprint (2018) |
| Nr. | Title |
| 1 | R. Levie, F. Monti, X. Bresson, and M. Bronstein CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters IEEE Transactions on Signal Processing, vol 67, no. 1, 97-109, 2019. |
| 2 | R. Levie and N. Sochen Uncertainty Principles and Optimally Sparse Wavelet Transforms Applied and Computational Harmonic Analysis, ISSN 1063-5203, 2018. |
| 3 | R. Levie, H. G. Stark, F. Lieb and N. Sochen Adjoint Translation, Adjoint Observable and Uncertainty Principle Advances in Computational Mathematics , vol 40,no. 3, 609-627, 2014. |
| Nr. | Title |
|---|---|
| 1 | R. Levie, C. Yapar, G. Kutyniok, and G. Caire Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 (submitted) |
| 2 | R. Levie, W. Huang, L. Bucci, M. Bronstein, and G. Kutyniok Transferability of Spectral Graph Convolutional Neural Networks NeurIPS, Graph Representation Learning, 2019. |
| 3 | R. Levie, E. Isufi and G. Kutyniok On the Transferability of Spectral Graph Filters Proceedings of the 2019 IEEE International Conference on Sampling Theory and Applications (SAMPTA)}. 2019. |
| 4 | D. Lantzberg, F. Lieb, H.-G. Stark, R. Levie, and N. Sochen Uncertainty Principles, Minimum Uncertainty Samplings and Translations Proceedings of the 20th European Signal Processing Conference 2012 (EUSIPCO) |
| Nr. | Title |
|---|---|
| 1 | A Group Representation Approach to Localization in Signal Processing PhD Thesis, Tel Aviv University, 2018 Advisor: Prof. Nir Sochen. |
| 2 | Line Cross-Section Models: Hybrid Volume-Surface Models of 3D Objects Master Thesis, Tel Aviv University, 2014 Advisors: Prof. Nira Dyn and Dr. Elza Farkhi. |
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