| Flexible multi-node simulation of cellular mobile communications: the Vienna 5G System Level Simulator MK Müller, F Ademaj, T Dittrich, A Fastenbauer, B Ramos Elbal, A Nabavi, ... EURASIP Journal on Wireless Communications and Networking 2018, 1-17, 2018 | 166 | 2018 |
| Signal Processing on Signed Graphs: Fundamentals and Potentials T Dittrich, G Matz IEEE Signal Processing Magazine 37 (6), 86-98, 2020 | 22 | 2020 |
| Semi-supervised Multiclass Clustering Based on Signed Total Variation P Berger, T Dittrich, G Hannak, G Matz ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
| Learning Signed Graphs from Data G Matz, T Dittrich ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| Semi-Supervised Clustering Based on Signed Total Variation P Berger, T Dittrich, G Matz 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 10 | 2018 |
| Semi-Supervised Spectral Clustering Using the Signed Laplacian T Dittrich, P Berger, G Matz 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1413-1417, 2018 | 7 | 2018 |
| An Efficient Method for Avoiding Shadow Fading Maps in System Level Simulations T Dittrich, M Taranetz, M Rupp WSA 2017; 21th International ITG Workshop on Smart Antennas, 1-8, 2017 | 7 | 2017 |
| Signature Graphs—Fundamentals, Learning, and Clustering G Matz, T Dittrich 2022 56th Asilomar Conference on Signals, Systems, and Computers, 235-239, 2022 | 4 | 2022 |
| Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces A Abdeljawad, T Dittrich arXiv preprint arXiv:2312.08461, 2023 | 3 | 2023 |
| Efficient Learning of Balanced Signature Graphs G Matz, C Verardo, T Dittrich ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters T Dittrich, G Matz 2020 28th European Signal Processing Conference (EUSIPCO), 1060-1064, 2021 | 3 | 2021 |
| Non-Convex Total Variation Minimization for Signed Graph Cut Clustering T Dittrich, G Matz 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1307-1311, 2021 | 3 | 2021 |
| Clustering on Dynamic Graphs Based on Total Variation P Berger, T Dittrich, G Matz 2019 13th International conference on Sampling Theory and Applications …, 2019 | 2 | 2019 |
| Weighted Sobolev Approximation Rates for Neural Networks on Unbounded Domains A Abdeljawad, T Dittrich arXiv preprint arXiv:2411.04108, 2024 | 1 | 2024 |
| A Linearly Constrained Power Iteration for Spectral Semi-Supervised Classification on Signed Graphs T Dittrich, G Matz 2022 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2022 | 1 | 2022 |
| A Maximum A Posteriori Relaxation For Clustering The Labeled Stochastic Block Model T Dittrich, G Matz 2021 29th European Signal Processing Conference (EUSIPCO), 2194-2198, 2021 | 1 | 2021 |
| The Vienna 5G System Level Simulator M Müller, F Ademaj, A Fastenbauer, A Nabavi, T Dittrich, BR Elbal, ... | 1 | 2020 |
| Variational Methods for Semi-Supervised Node Classification on Signed Graphs with Multiple Classes T Dittrich Technische Universität Wien, 2023 | | 2023 |
| Spectral clustering with sampling; a graph signal processing perspective T Dittrich Wien, 2018 | | 2018 |
Gerald MatzInstitute of Telecommunications, Vienna University of TechnologyBestätigte E-Mail-Adresse bei tuwien.ac.at
