Mona Schirmer

2022202320247 27 13

Maja RudolphLead Research Scientist, Bosch Center for AIVerified email at cs.columbia.edu
Stefan LessmannProfessor of Information Systems, Humboldt-University of BerlinVerified email at hu-berlin.de
Samuel P. FraibergerWorld Bank, New York University, Massachussets Institute of TechnologyVerified email at mit.edu
Karim LasriPhD, Ecole Normale SupérieureVerified email at ens.psl.eu
Eric NalisnickAssistant Professor, Johns Hopkins UniversityVerified email at jhu.edu
John Ngan Pougué-BiyongPhD, University of OxfordVerified email at maths.ox.ac.uk
Dan ZhangSenior Expert at Bosch Center for Artificial Intelligence, Robert Bosch GmbHVerified email at bosch.com

Mona Schirmer

Verified email at uva.nl


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Modeling irregular time series with continuous recurrent units M Schirmer, M Eltayeb, S Lessmann, M Rudolph International Conference on Machine Learning, 19388-19405, 2022	47	2022
Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift M Schirmer, D Zhang, E Nalisnick arXiv preprint arXiv:2312.08033, 2023		2023
EconBERTa: Towards Robust Extraction of Named Entities in Economics K Lasri, PVQ de Castro, M Schirmer, LE San Martin, L Wang, T Dulka, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 11557 …, 2023		2023
Method and system for a continuous discrete recurrent kalman network M Schirmer, M Eltayeb, M Rudolph US Patent App. 17/407,648, 2023		2023
Continuous-Discrete Recurrent Kalman Networks for Irregular Time Series M Schirmer, M Eltayeb, M Rudolph Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–5

Citations per year