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Florian Grötschla
Florian Grötschla
PhD Student, ETH Zurich
在 ethz.ch 的电子邮件经过验证 - 首页
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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
42023
Salsa-clrs: A sparse and scalable benchmark for algorithmic reasoning
J Minder, F Grötschla, J Mathys, R Wattenhofer
arXiv preprint arXiv:2309.12253, 2023
32023
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
32022
DISCO-10M: a large-scale music dataset
L Lanzendörfer, F Grötschla, E Funke, R Wattenhofer
Advances in Neural Information Processing Systems 36, 2024
22024
Hierarchical graph structures for congestion and eta prediction
F Grötschla, J Mathys
arXiv preprint arXiv:2211.11762, 2022
22022
DUNE Offline Computing Conceptual Design Report
AA Abud, B Abi, R Acciarri, M Acero, M Adames, G Adamov, ...
22022
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
12024
GRAPHTESTER: Exploring Theoretical Boundaries of GNNs on Graph Datasets
E Akbiyik, F Grötschla, B Egressy, R Wattenhofer
arXiv preprint arXiv:2306.17482, 2023
12023
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
12023
Learning Graph Algorithms With Recurrent Graph Neural Networks
F Grötschla, J Mathys, R Wattenhofer
arXiv preprint arXiv:2212.04934, 2022
12022
Next Level Message-Passing with Hierarchical Support Graphs
C Vonessen, F Grötschla, R Wattenhofer
arXiv preprint arXiv:2406.15852, 2024
2024
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: DUNE Offline Computing Conceptual Design Report
A Abed Abud, R Berner, V De Leo, P Baldi, M Antoniassi, S Pascoli, ...
2022
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