Responsibilities
Postdoctoral researcher
Contact
Ludwig-Maximilians-Universität München
Mathematisches Institut
Theresienstr. 39
80333 München
Mathematisches Institut
Theresienstr. 39
80333 München
Room:
423
Phone:
+49 (0)89 2180-4417
Email:
levie@math.lmu.de
Website:
My homepage
Further Information
Research Interests
Applied harmonic analysis, time-frequency and wavelet analysis, mathematics of deep learning, geometric deep learning, explainability in deep learning, application areas of deep learning like wireless communication, and randomized algorithms.
Google Scholar: https://scholar.google.it/citations?user=5M94lRgAAAAJ&hl=en
Publications
2021
- R. Levie, and H. Avron. Randomized Signal Processing with Continuous Frames. Journal of Fourier Analysis and Applications, Accepted. 2021.
- R. Levie, W. Huang, L. Bucci, M. M. Bronstein, G. Kutyniok. Transferability of Spectral Graph Convolutional Neural Networks. Journal of Machine Learning Research, Accepted. 2021
- S. Kolek, D. Nguyen, R. Levie, J. Bruna, G. Kutyniok. A Rate-Distortion Framework for Explaining Black-box Model Decisions. 2021. (submitted book chapter).
- S. Kolek, D. Nguyen, R. Levie, J. Bruna, G. Kutyniok. Cartoon Explanations of Image Classifiers. 2021. (submitted).
- S. Maskey, R. Levie, G. Kutyniok. Transferability of Graph Neural Networks: an Extended Graphon Approach. 2021. (submitted).
- S. Halvdansson, JF. Olsen, N. Sochen, R. Levie. Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. 2021. (submitted).
- Ç. Yapar, R. Levie, G. Kutyniok, G. Caire. Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. 2021. (submitted).
- V. Tiep Do, R. Levie, G. Kutyniok. Analysis of simultaneous inpainting and geometric separation based on sparse decomposition. Analysis and Applications, Online Ready. 2021.
- R. Levie, E.K. Avraham, N. Sochen. Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. 2021. (submitted).
- R. Levie, Ç. Yapar, G. Kutyniok, G. Caire. RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. IEEE Transactions on Wireless Communications, vol. 20, no. 6, pp. 4001-4015. 2021
2020
- R. Levie, H. Avron and G. Kutyniok. Quasi Monte Carlo Time-Frequency Analysis. 2020. (submitted).
- R. Levie, and H. Avron. Randomized Continuous Frames in Time-Frequency Analysis. 2020. (submitted).
- C. Heiß, R. Levie, C. Resnick, G. Kutyniok, J. Bruna. In-Distribution Interpretability for Challenging Modalities. ICML, Interpretability for Scientific Discovery. 2020.
- Ç. Yapar, R. Levie, G. Kutyniok, G. Caire. Real-time Localization Using Radio Maps. 2020. (Preprint).
- R. Levie, Ç. Yapar, G. Kutyniok, G. Caire. Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing. 2020.
- R. Levie, and N.Sochen, Uncertainty principles and optimally sparse wavelet transforms, Applied and Computational Harmonic Analysis, vol. 48, no. 3, pp. 811-867. 2020.
2019
- R. Levie , E. Isufi, Gitta Kutyniok. On the Transferability of Spectral Graph Filters. IEEE International Conference on Sampling Theory and Applications 13th International conference on Sampling Theory and Applications (SampTA), pp. 1-5. 2019.
- 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, pp. 97-109. 2019.
- R. Levie, W. Huang, L. Bucci, M. Bronstein, and G. Kutyniok. Transferability of Spectral Graph Convolutional Neural Networks. NeurIPS, Graph Representation Learning. 2019.