Autor der Publikation

Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads.

, , , , , , und . IEEE Micro, 37 (1): 15-21 (2017)

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Dr. Robert Löw University of Stuttgart

Replication Data for: Highly efficient real-time spatially resolved sensing of ultraviolet light, , , , , , , und . Dataset, (2025)Related to: Yannick Schellander, Fabian Munkes, Alexander Trachtmann, Patrick Schalberger, Robert Löw, Harald Kübler, Tilman Pfau, Norbert Fruehauf, "Highly efficient real-time spatially resolved sensing of ultraviolet light," Proc. SPIE 13109, Metamaterials, Metadevices, and Metasystems 2024, 1310906 (2024). doi: 10.1117/12.3028038.
Replication Data for: Highly efficient real-time spatially resolved sensing of ultraviolet light, , , , , , , und . Dataset, (2025)Related to: Yannick Schellander, Fabian Munkes, Alexander Trachtmann, Patrick Schalberger, Robert Löw, Harald Kübler, Tilman Pfau, Norbert Fruehauf, "Highly efficient real-time spatially resolved sensing of ultraviolet light," Proc. SPIE 13109, Metamaterials, Metadevices, and Metasystems 2024, 1310906 (2024). doi: 10.1117/12.3028038.Replication Data for: Ultraviolet Photodetectors and their Readout Realization for Future Active-Matrix Sensing, , , , , , , und . Dataset, (2025)Related to: Y. Schellander, M. Schamber, F. Munkes, R. Loew, P. Schalberger, H. Kübler, T. Pfau, and N. Fruehauf, “Ultraviolet photodetectors and their readout realization for future active-matrix sensing”, Proceedings of the International Display Workshops,30 (2023), 151-154. doi: 10.36463/idw.2023.0151.
 

Weitere Publikationen von Autoren mit dem selben Namen

Techniques for Improving Filters in Power Grid Contingency Analysis., , , , und . MLDM, Volume 6871 von Lecture Notes in Computer Science, Seite 599-611. Springer, (2011)Scalable, Multithreaded, Partially-in-Place Sorting., , und . IPDPS Workshops, Seite 1656-1664. IEEE, (2013)Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads., , , , , , und . IEEE Micro, 37 (1): 15-21 (2017)MachSuite: Benchmarks for accelerator design and customized architectures., , , , und . IISWC, Seite 110-119. IEEE Computer Society, (2014)Weightless: Lossy Weight Encoding For Deep Neural Network Compression., , , , , , und . CoRR, (2017)Fathom: Reference Workloads for Modern Deep Learning Methods., , , , und . CoRR, (2016)Weightless: Lossy weight encoding for deep neural network compression., , , , , , und . ICLR (Workshop), OpenReview.net, (2018)Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators., , , , , , , , and . ISCA, page 267-278. IEEE Computer Society, (2016)Towards Efficient N-x Contingency Selection Using Group betweenness Centrality., , , , , and . SC Companion, page 273-282. IEEE Computer Society, (2012)