Niklas Stoehr
Niklas Stoehr
Institute for Machine Learning, ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
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Year
The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
F Stephany, N Stoehr, P Darius, L Neuhäuser, O Teutloff, F Braesemann
CEPR Centre for Economic Policy Research, Covid Economics, 2020
45*2020
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
N Stoehr, M Brockschmidt, J Stuehmer, E Yilmaz
33rd Conference on Neural Information Processing Systems (NeurIPS 2019 …, 2019
62019
Global Networks in Collaborative Programming
F Braesemann, N Stoehr, M Graham
Taylor and Francis, 2019
62019
Measuring proximity between newspapers and political parties: The sentiment political compass
F Falck, J Marstaller, N Stoehr, S Maucher, J Ren, A Thalhammer, ...
Policy & Internet 12 (3), 367-399, 2020
42020
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends
N Stoehr, F Braesemann, M Frommelt, S Zhou
Springer Nature (CompleNet 2020), 2020
22020
Recovering Barabasi-Albert Parameters of Graphs through Disentanglement
C Guzmán, D Keidar, T Meynier, A Opedal, N Stoehr
International Conference on Learning Representations (ICLR 2021), Workshop …, 2021
2021
What About the Precedent: An Information-Theoretic Analysis of Common Law
J Valvoda, T Pimentel, N Stoehr, R Cotterell, S Teufel
NAACL 2021 – Annual Conference of the North American Chapter of the …, 2021
2021
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