I am only listing papers in which I either invested significant time and made a significant contribution, or which I co-authored but find especially noteworthy for other reasons.

 

Find a full list of my publications on ORCID: https://orcid.org/0000-0001-5687-6392

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Optimal operation of cryogenic calorimeters through deep reinforcement learning. The CRESST collaboration (corresponding author: F.Wagner). Comput Softw Big Sci. Volume 8, article number 10, (2024).

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Towards an automated data cleaning with deep learning in CRESST. The CRESST collaboration (corresponding author: F.Wagner), Eur. Phys. J. Plus 138, 100 (2023).

Cait: analysis toolkit for cryogenic particle detectors in Python. F. Wagner et al. (2022), Comput Softw Big Sci 6, 19 (2022).

Testing spin-dependent dark matter interactions with lithium targets in CRESST-III. The CRESST collaboration (2022, corresponding authors: A. Bertolini, S. Gupta, F. Wagner), Phys. Rev. D 106, 092008 (2022).

EXCESS workshop: Descriptions of rising low energy spectra. A. Fuss, M. Kaznacheeva, F. Reindl, F. Wagner (editors, 2022), SciPost Phys. Proc. 9, 001(2022).

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Nonlinear pile-up separation with LSTM neural networks. F. Wagner, 2021. arXiv:2112.06792, contribution to the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).