davidstutz.de bewertung und analyse

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Title David
Description IAM I am a researcher and engineer working on robust and trustworthy artificial intelligence and (3D) computer
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WebSite davidstutz favicondavidstutz.de
Host IP 88.198.176.147
Location Germany
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davidstutz.de bewertung
Euro4,408
Zuletzt aktualisiert: 2022-06-16 06:43:57

davidstutz.de hat Semrush globalen Rang von 6,157,818. davidstutz.de hat einen geschätzten Wert von € 4,408, basierend auf seinen geschätzten Werbeeinnahmen. davidstutz.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 88.198.176.147. Laut SiteAdvisor ist davidstutz.de sicher zu besuchen.

Verkehr & Wertschätzungen
Kauf-/Verkaufswert Euro€4,408
Tägliche Werbeeinnahmen Euro€128,383
Monatlicher Anzeigenumsatz Euro€42,978
Jährliche Werbeeinnahmen Euro€3,306
Tägliche eindeutige Besucher 551
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen.
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Host Type TTL Data
davidstutz.de. A 7199 IP: 88.198.176.147
davidstutz.de. NS 7200 NS Record: ns3.second-ns.de.
davidstutz.de. NS 7200 NS Record: ns.second-ns.com.
davidstutz.de. NS 7200 NS Record: ns1.your-server.de.
davidstutz.de. MX 7200 MX Record: 10 mail.davidstutz.de.
HtmlToTextCheckTime:2022-06-16 06:43:57
I AM DAVID STUTZ CV ABOUT PROJECTS BLOG CV ABOUT PROJECTS BLOG I am a PhD student at the Max Planck Institute for Informatics supervised by Bernt Schiele as well as Matthias Hein from the University of Tübingen . In 2021, I was a research scientist intern in the robust and verified AI team at DeepMind working with Taylan Cemgil , Krishnamurthy (Dj) Dvijotham and Arnaud Doucet . Throughout my PhD, I also collaborated with Nandhini Chandramoorthy from the IBM T. J. Watson Research Center . I volunteer in the PhdNet survey group. Broadly, my research interests lie in computer vision and machine learning. My academic research addresses robustness of deep neural networks against adversarial examples and adversarial or random bit errors in (quantized) weights. Previously, I worked on weakly-supervised 3D reconstruction and superpixel segmentation. In industry, I worked on various computer vision problems including line segment/kaypoint tracking and pedestrian detection. Generally, I am
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