Publications

Stefan Lüdtke, Christian Bartelt, and Heiner Stuckenschmidt. Outlying aspect mining via sum-product networks. Advances in Knowledge Discovery and Data Mining, 27--38, Springer Nature Switzerland, Cham, 2023. [PUMA: Outlying Xack aspect networks sum-product]

Martin Bogdan. Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? - A thought-provoking impulse. XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja), 201--207, Servizo de Publicacións da UDC, September 2022. [PUMA: Learning Xack algorithms learning networks neural neurological plausible spiking]

Adrian Lindenmeyer, Malte Blattmann, Stefan Franke, Thomas Neumuth, and Daniel Schneider. Inadequacy of common stochastic neural networks for reliable clinical decision support. 2024. [PUMA: Inadequacy clinical decision networks neural reliable stochastic support xack] URL

Peter Winkler, Norman Koch, Andreas Hornig, and Johannes Gerritzen. OmniOpt – A tool for hyperparameter optimization on HPC. In Heike Jagode, Hartwig Anzt, Hatem Ltaief, and Piotr Luszczek (Eds.), High Performance Computing - ISC High Performance Digital 2021 International Workshops, 2021, Revised Selected Papers, 285--296, Springer, Berlin u. a., Germany, Nov 13, 2021. [PUMA: FIS_scads High Hyperparameter Neural computing, networks optimization, performance xack]