Publications

Christoph Flamm, Stefan Müller, und Peter F. Stadler. Every atom-atom map can be explained by electron pushing diagrams. arXiv, 2023. [PUMA: (math.CO), (q-bio.MN), 05C92, 92E10 Biological Combinatorics FOS: Mathematics, Molecular Networks sciences, yaff] URL

Lucas Lange, Maurice-Maximilian Heykeroth, und Erhard Rahm. Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: area_responsibleai area_bigdata (cs.CR), (cs.CV), (cs.LG), Computer Cryptography FOS: Learning Machine Pattern Recognition Security Vision and ep information sciences]

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL

Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, und Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: topic_language (cs.CL), (cs.CY), Computation Computer Computers FOS: Language Society and information sciences sciences,] URL

Nicolas Fraiman, Sayan Mukherjee, und Gugan Thoppe. The Shadow knows: Empirical Distributions of Minimum Spanning Acycles and Persistence Diagrams of Random Complexes. arXiv, 2020. [PUMA: (math.PR), 05E45 60C05, 60G57, FOS: Mathematics, Probability] URL

Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, und Martin Potthast. Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: (cs.CL), Computation Computer FOS: Language and information sciences sciences,] URL