Publications

Jules Scholler, Joel Jonsson, Tomás Jordá-Siquier, Ivana Gantar, Laura Batti, Bevan L Cheeseman, Stéphane Pagès, Ivo F Sbalzarini, and Christophe M Lamy. Efficient image analysis for large-scale next generation histopathology using pAPRica. bioRxiv, January 2023. [PUMA: Efficient Yaff analysis generation histopathology image large-scale {pAPRica}]

Tieu-Long Phan, Klaus Weinbauer, Marcos E. Gonzalez Laffitte, Yingjie Pan, Daniel Merkle, Jakob L. Andersen, Rolf Fagerberg, Christoph Flamm, and Peter F. Stadler. SynTemp: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases. American Chemical Society (ACS), September 2024. [PUMA: Databases Efficient Extraction Graph-Based Large-Scale Reaction Rules SynTemp Xack imported] 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

Nikolaus Hautsch, Ostap Okhrin, and Alexander Ristig. Maximum-Likelihood Estimation Using the Zig-Zag Algorithm. Journal of Financial Econometrics, (21)4:1346-1375, 2023. [PUMA: topic_engineering Bitcoin Gauß–Seidel conditional correlation dynamic efficient estimation iterative] URL

Chen Liu, Guillaume Bellec, Bernhard Vogginger, David Kappel, Johannes Partzsch, Felix Neumärker, Sebastian Höppner, Wolfgang Maass, Steve B Furber, Robert Legenstein, and Christian G Mayr. Memory-efficient deep learning on a SpiNNaker 2 prototype. Front. Neurosci., (12):840, Frontiers Media SA, November 2018. [PUMA: SpiNNaker; deep efficient energy footprint; hardware; memory parallelism; pruning; rewiring; sparsity]