| Reconstructing nonlinear dynamical systems from multi-modal time series D Kramer, PL Bommer, C Tombolini, G Koppe, D Durstewitz arXiv preprint arXiv:2111.02922, 2021 | 15 | 2021 |
| Finding the right XAI method--A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P Bommer, M Kretschmer, A Hedström, D Bareeva, MMC Höhne arXiv preprint arXiv:2303.00652, 2023 | 14 | 2023 |
| The meta-evaluation problem in explainable AI: identifying reliable estimators with MetaQuantus A Hedström, P Bommer, KK Wickstrøm, W Samek, S Lapuschkin, ... arXiv preprint arXiv:2302.07265, 2023 | 11 | 2023 |
| Using spatio-temporal neural networks to investigating teleconnections and enhance S2S forecasts of european extreme weather PL Bommer, M Kretschmer, P Boehnke, MC Marina EGU24, 2024 | | 2024 |
| Evaluation of explainable AI solutions in climate science P Bommer, M Kretschmer, A Hedstroem, D Bareeva, MMC Hoehne EGU General Assembly Conference Abstracts, EGU-12528, 2023 | | 2023 |
| Identifying nonlinear dynamical systems from multi-modal time series data PL Bommer, D Kramer, C Tombolini, G Koppe, D Durstewitz arXiv e-prints, arXiv: 2111.02922, 2021 | | 2021 |
Daniel DurstewitzProfessor for Theoretical Neuroscience, CIMH/ Heidelberg UniversityVerified email at zi-mannheim.de
