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publications
Incorporating structural knowledge into unsupervised deep learning for two-photon imaging data
Published in bioRxiv, 2021
Using a neural network architecture that reflects domain knowledge provides an interpretable model of live cell imaging data.
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Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics
Published in arXiv, 2024
Finding detailed patterns in neural representations.
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talks
Beyond disinformation: The role of Chinese current affairs commentators on Twitter
Published:
Together with Professor Kristin Shi-Kupfer I talked about our research on Chinese current affairs commentators on Twitter. The talk was part of the 2024 Annual Conference of the Association for Asian Studies (AAS) in Seattle, WA, USA.
Natural Language Processing Meets China Studies. Discovering Patterns in Short Texts Beyond Topics
Published:
https://www.uni-trier.de/universitaet/fachbereiche-faecher/fachbereich-ii/faecher/sinologie/news/einzelansicht?tx_news_pi1%5Baction%5D=detail&tx_news_pi1%5Bcontroller%5D=News&tx_news_pi1%5Bnews%5D=26944&cHash=121c16ad62be7ce0270fdfbfef20f904
teaching
Lecture Tutor: Mathematics in Computer Science
Undergraduate course, University of Freiburg, Department of Mathematics, 2018
Lecture Tutor: Probability Theory and Statistics
Undergraduate course, University of Freiburg, Department of Mathematics, 2019
Course Homepage: Probability Theory and Statistics WS 2019/20
Lecturer: Trustworthy Data-Centric AI
Graduate course, LMU Munich, 2024
Teaching a lecture on mechanistic interpretability as part of “Profilierungsmodul CL I” of the MSc Computational Linguistics program at LMU.