Journal & Conference Publications


  • Peter Tillmann, Klaus Jäger and Christiane Becker (2020). Minimising the levelised cost of electricity for bifacial solar panel arrays using Bayesian optimization. Sustainable Energy Fuels  10.1039/C9SE00750D
  • Jannes Münchmeyer, Dino Bindi, Christian Sippl, Ulf Leser and Frederik Tilmann (2019). Low uncertainty multi-feature magnitude estimation with 3D corrections and boosting tree regression: application to North Chile. Geophysical Journal International
  • Leon Weber, Jannes Münchmeyer, Tim Rocktäschel, Maryam Habibi and Ulf Leser (2019). HUNER: Improving Biomedical NER with Pretraining. Bioinformatics  10.1093/bioinformatics/btz528
  • Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser and Tim Rocktäschel (2019). NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics,  6151-6161 10.18653/v1/P19-1618

Oral & Poster Presentations at Conferences


  • Binayak Ghosh, Mahdi Motagh, Setareh Maghsudi, Mahmud Haghshenas Haghighi. Reduction of tropospheric noise delay from large-scale interferograms using Generative Adversarial Networks, Oral presentation at the 40th Annual Scientific and Technical Conference of the DGPF, Stuttgart, Germany, 4 - 6 March 2020.


  • Jannes Münchmeyer, Dino Bindi, Christian Sippl, and Frederik Tilmann. Increasing magnitude scale consistency by combining multiple waveform features through machine learning. Oral presentation at EGU General Assembly, Vienna, 7-12 April 2019
  • Sergey Redyuk. Automated Documentation of End-to-End Experiments in Data Science. Poster presentation at ICDE’19, Macau, China, 8-11 April, 2019. 10.1109/ICDE.2019.00243
  • Henning Lilienkamp , Graeme Weatherill, Fabrice Cotton, and Giuseppe Caire. The role of spatial cross-correlation structures of ground motion fields forseismic risk assessment of spatially distributed assets and infrastructurenetworks.  Poster presentation at EGU General Assembly, Vienna, Austria, 7–12 April 2019.
  • Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Biessmann. Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. Workshop paper at HILDA’19, Amsterdam, Netherlands, 5 July, 2019.
  • Siddhant Agarwal, Nicola Tosi, Doris Breuer, Sebastiano Padovan, Pan Kessel,Grégoire Montavon. Unravelling interior evolution of terrestrial planets using Machine LearningOral presentation at Artificial Intelligence in Astronomy at ESO, Garching, Germany, 22-26 July 2019.
  • Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser and Tim Rocktäschel. NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.  Poster presentation at the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28 July - 2 August, 2019.
  • Gregor Pfalz, Bernhard Diekmann, Johann-Christoph Freytag, Boris K. Biskaborn. Decipher Arctic Lakes Ecosystem DynamicsPoster presentation at YES Congress 2019, Berlin, Germany, September 9-13, 2019.
  • Siddhant Agarwal, Nicola Tosi, Doris Breuer, Pan Kessel, Grégoire Montavon. Using machine learning to predict 1D steady-state temperature profiles from compressible mantle convection simulationsOral presentation at 72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, USA, 23-26 November 2019.
  • Jannes Münchmeyer, Dino Bindi, Ulf Leser, and Frederik Tilmann. Convolutional event embeddings for fast probabilistic earthquake assessment.Poster presentation at AGU Fall Meeting, San Francisco, 9-13 December 2019.
  • Henning Lilienkamp , Sebastian Specht, Graeme Weatherill, Fabrice Cotton. Exploring the Physics and Uncertainties in Spatial Cross-Correlation Models for Ground Motion Intensity Measures.  Oral presentation at AGU General Assembly, San Franscisco, USA, 9–13 December 2019.