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Jannes Münchmeyer
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Nlprolog: Reasoning with weak unification for question answering in natural language
L Weber, P Minervini, J Münchmeyer, U Leser, T Rocktäschel
arXiv preprint arXiv:1906.06187, 2019
602019
HUNER: improving biomedical NER with pretraining
L Weber, J Münchmeyer, T Rocktäschel, M Habibi, U Leser
Bioinformatics 36 (1), 295-302, 2020
362020
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition
L Weber, M Sänger, J Münchmeyer, M Habibi, U Leser, A Akbik
Bioinformatics 37 (17), 2792-2794, 2021
292021
The transformer earthquake alerting model: A new versatile approach to earthquake early warning
J Münchmeyer, D Bindi, U Leser, F Tilmann
Geophysical Journal International 225 (1), 646-656, 2021
162021
Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network
J Münchmeyer, D Bindi, U Leser, F Tilmann
Geophysical Journal International 226 (2), 1086-1104, 2021
132021
Estimating genome-wide regulatory activity from multi-omics data sets using mathematical optimization
S Trescher, J Münchmeyer, U Leser
BMC systems biology 11 (1), 1-18, 2017
122017
Low uncertainty multifeature magnitude estimation with 3-D corrections and boosting tree regression: application to North Chile
J Münchmeyer, D Bindi, C Sippl, U Leser, F Tilmann
Geophysical Journal International 220 (1), 142-159, 2020
92020
SeisBench—A toolbox for machine learning in seismology
J Woollam, J Münchmeyer, F Tilmann, A Rietbrock, D Lange, T Bornstein, ...
Seismological Society of America 93 (3), 1695-1709, 2022
42022
Which picker fits my data? A quantitative evaluation of deep learning based seismic pickers
J Münchmeyer, J Woollam, A Rietbrock, F Tilmann, D Lange, T Bornstein, ...
Journal of Geophysical Research: Solid Earth, e2021JB023499, 2022
42022
Fast earthquake assessment and earthquake early warning dataset for Italy
J Münchmeyer, D Bindi, U Leser, F Tilmann
GFZ Data Services, 2020
22020
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling
L Weber, J Münchmeyer, S Garda, U Leser
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
12021
Fast earthquake assessment dataset for chile
J Münchmeyer, D Bindi, U Leser, F Tilmann
GFZ Data Services, 2021
12021
Team–the transformer earthquake alerting model
J Münchmeyer, D Bindi, U Leser, F Tilmann
GFZ Data Services, 2021
12021
A probabilistic view on rupture predictability: all earthquakes evolve similarly
J Münchmeyer, U Leser, F Tilmann
arXiv preprint arXiv:2203.08622, 2022
2022
Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction
WJ Foster, G Ayzel, J Münchmeyer, T Rettelbach, NH Kitzmann, TT Isson, ...
Paleobiology, 1-15, 2022
2022
A probabilistic view of earthquake rupture predictability
J Münchmeyer, U Leser, FJ Tilmann
AGU Fall Meeting 2021, 2021
2021
SeisBench: A Python Toolbox for Benchmarking and Deploying ML Models in Seismology
J Woollam, J Münchmeyer, C Giunchi, D Jozinovic, T Diehl, J Saul, ...
AGU Fall Meeting 2021, 2021
2021
Decoding Geophysical Signatures With Machine Learning: Novel Methods and Results III Oral
LJ Pyrak-Nolte, T Chen, J Woollam, J Münchmeyer
AGU Fall Meeting 2021, 2021
2021
SeisBench: A toolbox for benchmarking and applying machine learning in seismology.
J Woollam, J Münchmeyer, C Giunchi, D Jozinovic, T Diehl, J Saul, ...
EGU General Assembly Conference Abstracts, EGU21-12218, 2021
2021
Insights into deep learning for earthquake magnitude and location estimation
J Münchmeyer, D Bindi, U Leser, F Tilmann
EGU General Assembly Conference Abstracts, EGU21-4718, 2021
2021
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