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publications
Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces
Published in Journal of Physics: Conference Series, 2023
Conference proceedings for the poster presented at the ACAT workshop 2021.
Recommended citation: Erdmann, M., Hafner, K., Schulte, J. & Straub, M. (2023). "Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces." Journal of Physics: Conference Series. DOI: 10.1088/1742-6596/2438/1/012072
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Interpretable Machine Learning‑Based Radiation Emulation for ICON
Published in Journal of Geophysical Research: Machine Learning and Computation, 2025
This is the first study of my PhD thesis, where I developed an ML-based radiation emulator using BiLSTMs. I implemented physical constraints regarding energy conservation and interpreted the BiLSTM using Shapley values.
Recommended citation: Hafner, K., and Iglesias‑Suarez, Fernando and Shamekh, Sara and Gentine, Pierre and Giorgetta, Marco A. and Pincus, Robert and Eyring, Veronika (2023). "Interpretable Machine Learning‑Based Radiation Emulation for ICON." Journal of Geophysical Research: Machine Learning and Computation.e2024JH000501. DOI: 10.1029/2024JH000501
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talks
Autoencoder‑extended Conditional Invertible Neural Networks for Unfolding Signal Traces
Published:
I presented a poster about the research of my master thesis at the ACAT workshop in 2021.
Improvement of the radiation parameterization of ICON by including subgrid‑scale cloud properties using machine learning
Published:
I gave a talk about my PhD research.
Interpretable Machine Learning‑based Radiation Emulation for ICON
Published:
I presented the first study of my PhD in an eLightning presentation (3 min talk + poster). For the presentation, I received the Outstanding Student Presentation Award (OSPA).
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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