direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Publications

 

Journal Publications (Submitted/Preprint)
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)
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
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.
Refereed Conference Publications
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)

 

 

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

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions