| 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 | 3 | 2023 |
| 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, 2022 | 3 | 2022 |
| SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning J Minder, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2309.12253, 2023 | 2 | 2023 |
| DUNE Offline Computing Conceptual Design Report AA Abud, B Abi, R Acciarri, M Acero, M Adames, G Adamov, ... | 2 | 2022 |
| DISCO-10M: A Large-Scale Music Dataset L Lanzendörfer, F Grötschla, E Funke, R Wattenhofer Advances in Neural Information Processing Systems 36, 2024 | 1 | 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 | 1 | 2024 |
| GRAPHTESTER: Exploring Theoretical Boundaries of GNNs on Graph Datasets E Akbiyik, F Grötschla, B Egressy, R Wattenhofer arXiv preprint arXiv:2306.17482, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| Learning Graph Algorithms With Recurrent Graph Neural Networks F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2212.04934, 2022 | 1 | 2022 |
| Hierarchical graph structures for congestion and eta prediction F Grötschla, J Mathys arXiv preprint arXiv:2211.11762, 2022 | 1 | 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 | | 2024 |
| arXiv: The DUNE Far Detector Vertical Drift Technology, Technical Design Report A Abed Abud, P Granger, HV de Souza, P Cooke, P Baldi, M Antoniassi, ... | | 2023 |
| SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics S Künzli, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2310.20049, 2023 | | 2023 |
| Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing J Mathys, F Grötschl, KV Nadimpalli, R Wattenhofer arXiv preprint arXiv:2310.06970, 2023 | | 2023 |
| arXiv: Highly-parallelized simulation of a pixelated LArTPC on a GPU A Abed Abud, R Berner, V De Leo, S Swain, P Baldi, M Antoniassi, ... | | 2022 |
| arXiv: DUNE Offline Computing Conceptual Design Report A Abed Abud, R Berner, V De Leo, P Baldi, M Antoniassi, S Pascoli, ... | | 2022 |
