Publications

Alex Ivliev, Lukas Gerlach, Simon Meusel, Jakob Steinberg, and Markus Krötzsch. Nemo: A Scalable and Versatile Datalog Engine. In Mario Alviano, and Matthias Lanzinger (Eds.), Proceedings of the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024), (3801):43-47, CEUR-WS.org, November 2024. [PUMA: Datalog_Engine Nemo Scalable Versatile Xack imported]

Samuel I. Berchuck, Felipe A. Medeiros, Sayan Mukherjee, and Andrea Agazzi. Scalable Bayesian inference for the generalized linear mixed model. 2024. [PUMA: Bayesian Scalable generalized imported inference linear mixed model zno] URL

Anika Hannemann, Arjhun Swaminathan, Ali Burak Ünal, and Mete Akgün. Private, Efficient and Scalable Kernel Learning for Medical Image Analysis. 2024. [PUMA: Efficient Kernel_Learning Medical_Image_Analysis Private Scalable Yaff imported] URL