Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: 10.5220/0010245002510258
- Ereignis
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Veröffentlichung
- (wo)
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Aachen
- (wer)
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Universitätsbibliothek der RWTH Aachen
- (wann)
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2021
- Urheber
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Rehm, Florian
Vallecorsa, Sofia
Saletore, Vikram
Pabst, Hans
Chaibi, Adel
Codreanu, Valeriu
Borras, Kerstin
Krücker, Dirk
- DOI
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10.18154/RWTH-2021-06679
- URN
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urn:nbn:de:101:1-2022061803261232796779
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
16.08.2025, 01:44 MESZ
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Beteiligte
- Rehm, Florian
- Vallecorsa, Sofia
- Saletore, Vikram
- Pabst, Hans
- Chaibi, Adel
- Codreanu, Valeriu
- Borras, Kerstin
- Krücker, Dirk
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2021
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