Towards Deep Learning Methods for Quality Assessment of Computer-Generated Imagery. - Markus Utke; Saman Zadtootaghaj; Steven Schmidt 001; Sebastian Möller 001 (CoRR, 2020)

NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction. - Markus Utke; Saman Zadtootaghaj; Steven Schmidt 001; Sebastian Bosse; Sebastian Möller 001 (Multim. Tools Appl., 2022)

Anonymous and Copy-Robust Delegations for Liquid Democracy. - Markus Utke; Ulrike Schmidt-Kraepelin (NeurIPS, 2023)

Truthful Budget Aggregation: Beyond Moving-Phantom Mechanisms. - Mark de Berg; Rupert Freeman; Ulrike Schmidt-Kraepelin; Markus Utke (CoRR, 2024)

Pabuviz.org: A Visualisation Platform to Explore Participatory Budgeting Elections. - Markus Utke; Simon Rey; Ulle Endriss (AAMAS, 2025)

Discrete Budget Aggregation: Truthfulness and Proportionality. - Ulrike Schmidt-Kraepelin; Warut Suksompong; Markus Utke (CoRR, 2025)