| Amoebot-a new model for programmable matter Z Derakhshandeh, S Dolev, R Gmyr, AW Richa, C Scheideler, ... Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and …, 2014 | 122 | 2014 |
| Universal shape formation for programmable matter Z Derakhshandeh, R Gmyr, AW Richa, C Scheideler, T Strothmann Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and …, 2016 | 89 | 2016 |
| Leader election and shape formation with self-organizing programmable matter Z Derakhshandeh, R Gmyr, T Strothmann, R Bazzi, AW Richa, ... DNA Computing and Molecular Programming: 21st International Conference, DNA …, 2015 | 75 | 2015 |
| TED: A pretrained unsupervised summarization model with theme modeling and denoising Z Yang, C Zhu, R Gmyr, M Zeng, X Huang, E Darve arXiv preprint arXiv:2001.00725, 2020 | 64 | 2020 |
| An algorithmic framework for shape formation problems in self-organizing particle systems Z Derakhshandeh, R Gmyr, AW Richa, C Scheideler, T Strothmann Proceedings of the Second Annual International Conference on Nanoscale …, 2015 | 62 | 2015 |
| Improved leader election for self-organizing programmable matter JJ Daymude, R Gmyr, AW Richa, C Scheideler, T Strothmann Algorithms for Sensor Systems: 13th International Symposium on Algorithms …, 2017 | 61 | 2017 |
| Universal coating for programmable matter Z Derakhshandeh, R Gmyr, AW Richa, C Scheideler, T Strothmann Theoretical Computer Science 671, 56-68, 2017 | 55 | 2017 |
| A Federated Approach in Training Acoustic Models. D Dimitriadis, RG Ken'ichi Kumatani, R Gmyr, Y Gaur, SE Eskimez Interspeech, 981-985, 2020 | 46 | 2020 |
| Leveraging lead bias for zero-shot abstractive news summarization C Zhu, Z Yang, R Gmyr, M Zeng, X Huang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 41 | 2021 |
| On the runtime of universal coating for programmable matter JJ Daymude, Z Derakhshandeh, R Gmyr, A Porter, AW Richa, ... Natural Computing 17, 81-96, 2018 | 40 | 2018 |
| i-code: An integrative and composable multimodal learning framework Z Yang, Y Fang, C Zhu, R Pryzant, D Chen, Y Shi, Y Xu, Y Qian, M Gao, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10880 …, 2023 | 37 | 2023 |
| Forming tile shapes with simple robots R Gmyr, K Hinnenthal, I Kostitsyna, F Kuhn, D Rudolph, C Scheideler, ... Natural Computing 19 (2), 375-390, 2020 | 35 | 2020 |
| Distributed computation in node-capacitated networks J Augustine, M Ghaffari, R Gmyr, K Hinnenthal, C Scheideler, F Kuhn, J Li The 31st ACM Symposium on Parallelism in Algorithms and Architectures, 69-79, 2019 | 34 | 2019 |
| Time-Message Trade-Offs in Distributed Algorithms R Gmyr, G Pandurangan arXiv preprint arXiv:1810.03513, 2018 | 31 | 2018 |
| GAN-Based Data Generation for Speech Emotion Recognition. SE Eskimez, D Dimitriadis, R Gmyr, K Kumanati INTERSPEECH, 3446-3450, 2020 | 29 | 2020 |
| Sleeping is Efficient: MIS in O(1)-rounds Node-averaged Awake Complexity S Chatterjee, R Gmyr, G Pandurangan Proceedings of the 39th Symposium on Principles of Distributed Computing, 99-108, 2020 | 29 | 2020 |
| Distributed monitoring of network properties: The power of hybrid networks R Gmyr, K Hinnenthal, C Scheideler, C Sohler 44th International Colloquium on Automata, Languages, and Programming (ICALP …, 2017 | 28 | 2017 |
| Convex hull formation for programmable matter JJ Daymude, R Gmyr, K Hinnenthal, I Kostitsyna, C Scheideler, AW Richa Proceedings of the 21st International Conference on Distributed Computing …, 2020 | 26 | 2020 |
| Shape recognition by a finite automaton robot R Gmyr, K Hinnenthal, I Kostitsyna, F Kuhn, D Rudolph, C Scheideler 43rd International Symposium on Mathematical Foundations of Computer Science …, 2018 | 26 | 2018 |
| On the runtime of universal coating for programmable matter Z Derakhshandeh, R Gmyr, A Porter, AW Richa, C Scheideler, ... International Conference on DNA-Based Computers, 148-164, 2016 | 25 | 2016 |
Christian ScheidelerUniversität PaderbornVerified email at upb.de
