| Cayleynets: Graph convolutional neural networks with complex rational spectral filters R Levie, F Monti, X Bresson, MM Bronstein IEEE Transactions on Signal Processing 67 (1), 97-109, 2018 | 770 | 2018 |
| RadioUNet: Fast radio map estimation with convolutional neural networks R Levie, Ç Yapar, G Kutyniok, G Caire IEEE Transactions on Wireless Communications 20 (6), 4001-4015, 2021 | 149 | 2021 |
| Transferability of spectral graph convolutional neural networks R Levie, W Huang, L Bucci, M Bronstein, G Kutyniok Journal of Machine Learning Research 22 (272), 1-59, 2021 | 126 | 2021 |
| On the transferability of spectral graph filters R Levie, E Isufi, G Kutyniok 2019 13th International conference on Sampling Theory and Applications …, 2019 | 56 | 2019 |
| Generalization analysis of message passing neural networks on large random graphs S Maskey, R Levie, Y Lee, G Kutyniok Advances in neural information processing systems 35, 4805-4817, 2022 | 45 | 2022 |
| Transferability of graph neural networks: an extended graphon approach S Maskey, R Levie, G Kutyniok Applied and Computational Harmonic Analysis 63, 48-83, 2023 | 39 | 2023 |
| Pathloss prediction using deep learning with applications to cellular optimization and efficient D2D link scheduling R Levie, Ç Yapar, G Kutyniok, G Caire ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 33 | 2020 |
| Real-time outdoor localization using radio maps: A deep learning approach Ç Yapar, R Levie, G Kutyniok, G Caire IEEE Transactions on Wireless Communications 22 (12), 9703-9717, 2023 | 17 | 2023 |
| A rate-distortion framework for explaining black-box model decisions S Kolek, DA Nguyen, R Levie, J Bruna, G Kutyniok International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 16 | 2020 |
| Dataset of pathloss and ToA radio maps with localization application Ç Yapar, R Levie, G Kutyniok, G Caire arXiv preprint arXiv:2212.11777, 2022 | 12 | 2022 |
| Locunet: Fast urban positioning using radio maps and deep learning Ç Yapar, R Levie, G Kutyniok, G Caire ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 12 | 2022 |
| Fine-grained expressivity of graph neural networks J Böker, R Levie, N Huang, S Villar, C Morris Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| Cartoon explanations of image classifiers S Kolek, DA Nguyen, R Levie, J Bruna, G Kutyniok European Conference on Computer Vision, 443-458, 2022 | 11 | 2022 |
| Memorization-dilation: Modeling neural collapse under noise DA Nguyen, R Levie, J Lienen, G Kutyniok, E Hüllermeier The Eleventh International Conference on Learning Representations (ICLR), 2023 | 10* | 2023 |
| In-distribution interpretability for challenging modalities C Heiß, R Levie, C Resnick, G Kutyniok, J Bruna arXiv preprint arXiv:2007.00758, 2020 | 10 | 2020 |
| Adjoint translation, adjoint observable and uncertainty principles R Levie, HG Stark, F Lieb, N Sochen Advances in computational mathematics 40, 609-627, 2014 | 10 | 2014 |
| A graphon-signal analysis of graph neural networks R Levie Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Analysis of simultaneous inpainting and geometric separation based on sparse decomposition VT Do, R Levie, G Kutyniok Analysis and Applications 20 (02), 303-352, 2022 | 7 | 2022 |
| Uncertainty principles and optimally sparse wavelet transforms R Levie, N Sochen Applied and Computational Harmonic Analysis 48 (3), 811-867, 2020 | 7 | 2020 |
| A wavelet Plancherel theory with application to sparse continuous wavelet transform R Levie, N Sochen arXiv preprint arXiv:1712.02770, 2017 | 6 | 2017 |
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich在 math.lmu.de 的电子邮件经过验证
