V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,”10.3390/computation8020039__Computation, vol. 8, no. 2, Art. no. 39, 2020, doi:10.3390/computation8020039 .
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DOI: 10.3390/computation8020039
arXiv: 1907.08497

S. Gharibian, S. Piddock, and J. Yirka, “Oracle complexity classes and local measurements on physical  Hamiltonians,” in Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020), 2020, p. 38.
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arXiv: 1909.05981

C. A. Hahn, “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen,” die hochschullehre, no. 6, 2020.
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T. von Neumann et al., “End-to-End Training of Time Domain Audio Separation and Recognition,”10.1109/ICASSP40776.2020.9053461__in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 7004–7008, doi:10.1109/ICASSP40776.2020.9053461 .
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T. von Neumann et al., “Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR,”10.21437/Interspeech.2020-2519__in Proc. Interspeech 2020, 2020, pp. 3097–3101, doi:10.21437/Interspeech.2020-2519 .
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O. Hartung, “Gedenken an Luftangriffe auf Paderborn: ‘Erinnerung wird nie obsolet sein’ ,” Neue Westfälische, 2020.
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T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, and R. Haeb-Umbach, “Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network,” 2020.
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K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, and R. Haeb-Umbach, “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation,”10.21437/Interspeech.2020-2388__in Proc. Interspeech 2020, 2020, pp. 2652–2656, doi:10.21437/Interspeech.2020-2388 .
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A. Treder, Diskriminierung begegnen – Vielfalt gestaltenf: Veranstaltungsreihe von und für Studierende und Interessierte. Jena [online]: Friedrich-Schiller-Universität, 2020.
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S. Meyberg and A. Treder, Mit Methoden der Drama- und Erzählpädagogik Fremdsprachen lernen. Jena [online]: Friedrich-Schiller-Universität, 2020.
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