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Publikationen
| Nr. | Titel |
|---|---|
| 1 | R. Levie, and H. Avron. Randomized Continuous Frames in Time-Frequency Analysis. 2020. |
| 2 | V. Tiep Do, R. Levie, G. Kutyniok. Analysis of simultaneous inpainting and geometric separation based on sparse decomposition. 2020. |
| 3 | R. Levie, Ç. Yapar, G. Kutyniok, G. Caire. RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. 2019. |
| 4 | R. Levie, W. Huang, L. Bucci, M. Bronstein, and G. Kutyniok. Transferability of Spectral Graph Convolutional Neural Networks. 2019. |
| 5 | R. Levie and H. Avron. randomized signal processing with continuous frames. 2018. |
| 6 | R. Levie and N. Sochen A Wavelet Plancherel Theory with Application to Sparse Continuous Wavelet Transform. 2018. |
| Nr. | Titel |
| 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. |
| 1 | C. Heiß, R. Levie, C. Resnick, G. Kutyniok, J. Bruna. In-Distribution Interpretability for Challenging Modalities. ICML, Interpretability for Scientific Discovery, 2020. |
|---|---|
| 2 | 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. |
| 3 | R. Levie, W. Huang, L. Bucci, M. Bronstein, and G. Kutyniok Transferability of Spectral Graph Convolutional Neural Networks NeurIPS, Graph Representation Learning. 2019. |
| 4 | 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. |
| 5 | 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). 2012. |
| Nr. | Titel |
|---|---|
| 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. |