MARViN - Multiple Arithmetic Resolutions Vacillating in Neural Networks. - Lorenz Kummer; Kevin Sidak; Tabea Reichmann; Wilfried N. Gansterer (CoRR, 2021)

Neural Network Augmented Compartmental Pandemic Models. - Lorenz Kummer; Kevin Sidak (CoRR, 2022)

Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs. - Lorenz Kummer; Kevin Sidak; Tabea Reichmann; Wilfried N. Gansterer (SDM, 2023)

Text-Guided Image Clustering. - Andreas Stephan; Lukas Miklautz; Kevin Sidak; Jan Philip Wahle; Bela Gipp; Claudia Plant; Benjamin Roth 001 (EACL (1), 2024)

Plasticity Loss in Deep Reinforcement Learning: A Survey. - Timo Klein; Lukas Miklautz; Kevin Sidak; Claudia Plant; Sebastian Tschiatschek (CoRR, 2024)

Breaking the Reclustering Barrier in Centroid-based Deep Clustering. - Lukas Miklautz; Timo Klein; Kevin Sidak; Collin Leiber; Thomas Lang; Andrii Shkabrii; Sebastian Tschiatschek; Claudia Plant (ICLR, 2025)

Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data. - Eric Mörth; Kevin Sidak; Zoltan Maliga; Torsten Möller; Nils Gehlenborg; Peter K. Sorger; Hanspeter Pfister; Johanna Beyer; Robert Krüger (IEEE Trans. Vis. Comput. Graph., 2025)