D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David, Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
L. Hückmann, and J. Kästner. Dataset, (2023)Related to: Lukas Hückmann, Dr. Sonia Álvarez-Barcia, Marina Fuhrer, Prof. Dr. Bernd Plietker, and Prof. Dr. Johannes Kästner. Ruthenium-Catalyzed Secondary Amine Formation Studied by Density Functional Theory. ChemCatChem2021,13,1383-1388. doi: 10.1002/cctc.202001588.