Zobrazeno 1 - 10
of 3 058
pro vyhledávání: '"Kienitz"'
Autor:
Sledz, Florian, Khramtsov, Igor A., Flatae, Assegid M., Lagomarsino, Stefano, Sciortino, Silvio, Nicley, Shannon S., Rouzbahani, Rozita, Pobedinskas, Paulius, Guo, Tianxiao, Jiang, Xin, Kienitz, Paul, Bolivar, Peter Haring, Haenen, Ken, Fedyanin, Dmitry Yu., Agio, Mario
A robust quantum light source operating upon electrical injection at ambient conditions is desirable for practical implementation of quantum technologies, such as quantum key distribution or metrology. Color centers in diamond are promising candidate
Externí odkaz:
http://arxiv.org/abs/2408.01572
Autor:
Tsepo Goerttler, Martin B. Dorner, Christina van der Linden, Ricardo Kienitz, Stephan Petrik, Stephan Blechinger, Jonah Spickschen, Iris R. Betz, Carl Hinrichs, David Steindl, Frederike Weber, Thomas Musacchio, Gilbert Wunderlich, Maria Adele Rueger, Michael T. Barbe, Haidar Dafsari, Seda Demir, Sriramya Lapa, Pia S. Zeiner, Adam Strzelczyk, Peter Tinnemann, Christian Kleine, Andreas Totzeck, Stephan Klebe, Agata Mikolajewska, Brigitte G. Dorner, Elisabeth Fertl, Christian Grefkes-Hermann, Gereon Fink, Christoph Kleinschnitz, Tim Hagenacker
Publikováno v:
Neurological Research and Practice, Vol 6, Iss 1, Pp 1-6 (2024)
Abstract Background Intragastric botulinum neurotoxin injections (IBNI) are offered off-label in the private medical sector in a few European countries as a safe and effective weight-loss measure. In February and March 2023, an outbreak of iatrogenic
Externí odkaz:
https://doaj.org/article/720d923be4264302b2d7d1a8a55ba51d
Autor:
Casadio, Marco, Arnaboldi, Luca, Daggitt, Matthew L., Isac, Omri, Dinkar, Tanvi, Kienitz, Daniel, Rieser, Verena, Komendantskaya, Ekaterina
Verification of machine learning models used in Natural Language Processing (NLP) is known to be a hard problem. In particular, many known neural network verification methods that work for computer vision and other numeric datasets do not work for NL
Externí odkaz:
http://arxiv.org/abs/2305.04003
Autor:
Casadio, Marco, Komendantskaya, Ekaterina, Rieser, Verena, Daggitt, Matthew L., Kienitz, Daniel, Arnaboldi, Luca, Kokke, Wen
With the proliferation of Deep Machine Learning into real-life applications, a particular property of this technology has been brought to attention: robustness Neural Networks notoriously present low robustness and can be highly sensitive to small in
Externí odkaz:
http://arxiv.org/abs/2206.14575