The DUNE Far Detector Vertical Drift Technology. Technical Design Report AA Abud, B Abi, R Acciarri, MA Acero, MR Adames, G Adamov, ... Journal of Instrumentation 19 (08), T08004, 2023 | 15 | 2023 |
DISCO-10M: A large-scale music dataset L Lanzendörfer, F Grötschla, E Funke, R Wattenhofer Advances in Neural Information Processing Systems 36, 54451-54471, 2023 | 14 | 2023 |
Snac: Multi-scale neural audio codec H Siuzdak, F Grötschla, LA Lanzendörfer arXiv preprint arXiv:2410.14411, 2024 | 13 | 2024 |
Traffic4cast at neurips 2022–predict dynamics along graph edges from sparse node data: Whole city traffic and eta from stationary vehicle detectors M Neun, C Eichenberger, H Martin, M Spanring, R Siripurapu, D Springer, ... NeurIPS 2022 Competition Track, 251-278, 2023 | 13 | 2023 |
SALSA-CLRS: A sparse and scalable benchmark for algorithmic reasoning J Minder, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2309.12253, 2023 | 8 | 2023 |
Highly-parallelized simulation of a pixelated LArTPC on a GPU AA Abud, B Abi, R Acciarri, MA Acero, MR Adames, G Adamov, ... Journal of instrumentation 18 (04), P04034, 2023 | 7 | 2023 |
DUNE Phase II: scientific opportunities, detector concepts, technological solutions AA Abud, B Abi, R Acciarri, MA Acero, MR Adames, G Adamov, ... Journal of Instrumentation 19 (12), P12005, 2024 | 5 | 2024 |
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence P Jordan, F Grötschla, FX Fan, R Wattenhofer arXiv preprint arXiv:2401.03489, 2024 | 5 | 2024 |
Graphtester: Exploring theoretical boundaries of gnns on graph datasets E Akbiyik, F Grötschla, B Egressy, R Wattenhofer arXiv preprint arXiv:2306.17482, 2023 | 5 | 2023 |
Learning graph algorithms with recurrent graph neural networks F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2212.04934, 2022 | 4 | 2022 |
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs F Grötschla, J Mathys, R Veres, R Wattenhofer arXiv preprint arXiv:2402.06706, 2024 | 3 | 2024 |
Design of a request/response buffering application for I/O intensive workloads F Grötschla, GL Miotto, R Sipos Journal of Physics: Conference Series 2438 (1), 012025, 2023 | 3 | 2023 |
Hierarchical graph structures for congestion and eta prediction F Grötschla, J Mathys arXiv preprint arXiv:2211.11762, 2022 | 2 | 2022 |
DUNE Offline Computing Conceptual Design Report AA Abud, B Abi, R Acciarri, M Acero, M Adames, G Adamov, ... | 2 | 2022 |
On the Lifecycle of a Lightning Network Payment Channel F Grötschla, L Heimbach, S Richner, R Wattenhofer arXiv preprint arXiv:2409.15930, 2024 | 1 | 2024 |
Benchmarking GNNs Using Lightning Network Data R Feichtinger, F Grötschla, L Heimbach, R Wattenhofer arXiv preprint arXiv:2407.07916, 2024 | 1 | 2024 |
Next Level Message-Passing with Hierarchical Support Graphs C Vonessen, F Grötschla, R Wattenhofer arXiv preprint arXiv:2406.15852, 2024 | 1 | 2024 |
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics S Künzli, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2310.20049, 2023 | 1 | 2023 |
High-Fidelity Music Vocoder using Neural Audio Codecs LA Lanzendörfer, F Grötschla, M Ungersböck, R Wattenhofer arXiv preprint arXiv:2502.12759, 2025 | | 2025 |
Universality Frontier for Asynchronous Cellular Automata I Baburin, M Cook, F Grötschla, A Plesner, R Wattenhofer arXiv preprint arXiv:2502.05989, 2025 | | 2025 |