Haupt-Navigation

Publications

Journal Publications (*Submitted*)
Nr.	Title
1	R. Levie, and H. Avron. Randomized Continuous Frames in Time-Frequency Analysis. [1] 2020.
2	V. Tiep Do, R. Levie, G. Kutyniok. Analysis of simultaneous inpainting and geometric separation based on sparse decomposition. [2] 2020.
3	R. Levie, Ç. Yapar, G. Kutyniok, G. Caire. RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. [3] 2019.
4	R. Levie, W. Huang, L. Bucci, M. Bronstein, and G. Kutyniok. Transferability of Spectral Graph Convolutional Neural Networks. [4] 2019.
5	R. Levie and H. Avron. randomized signal processing with continuous frames. [5] 2018.
6	R. Levie and N. Sochen A Wavelet Plancherel Theory with Application to Sparse Continuous Wavelet Transform [6]. 2018.

Journal Publications (peer-reviewed)
Nr.	Title
1	R. Levie, F. Monti, X. Bresson, and M. Bronstein CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters [7] 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 [8] 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 [9] Advances in Computational Mathematics , vol 40,no. 3, 609-627, 2014.

Refereed Conference Publications
Nr.	Title
1	C. Heiß, R. Levie, C. Resnick, G. Kutyniok, J. Bruna. In-Distribution Interpretability for Challenging Modalities. [10] 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 [11] NeurIPS, Graph Representation Learning. 2019.
4	R. Levie, E. Isufi and G. Kutyniok On the Transferability of Spectral Graph Filters [12] 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 [13] Proceedings of the 20th European Signal Processing Conference 2012 (EUSIPCO). 2012

Monographs
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 [14] Master Thesis, Tel Aviv University, 2014 Advisors: Prof. Nira Dyn and Dr. Elza Farkhi.

------ Links: ------

[1] https://arxiv.org/abs/2009.10525

[2] https://arxiv.org/abs/2009.09398

[3] https://arxiv.org/abs/1911.09002

[4] https://arxiv.org/pdf/1907.12972.pdf

[5] https://arxiv.org/pdf/1808.08810.pdf

[6] https://arxiv.org/pdf/1712.02770.pdf

[7] https://arxiv.org/pdf/1705.07664.pdf

[8] https://arxiv.org/pdf/1707.04863.pdf

[9] https://link.springer.com/article/10.1007/s10444-01
3-9336-x

[10] https://arxiv.org/abs/2007.00758

[11] https://grlearning.github.io/papers/109.pdf

[12] https://sampta2019.sciencesconf.org/272686/documen
t

[13] https://ieeexplore.ieee.org/document/6333912

[14] https://www.math.tu-berlin.de/fileadmin/i26_fg-kut
yniok/Levie/Files/Ron_Levie_MSc_thesis.pdf

Schnellnavigation zur Seite über Nummerneingabe

This site uses Matomo for anonymized webanalysis. Visit Data Privacy for more information and opt-out options.