The Ulm Sparrows: Research into Sensorimotor Integration, Agency Learning, and Multiagent Cooperation. - Gerhard K. Kraetzschmar; Stefan Enderle; Stefan Sablatnög; Thomas Boß; Mark Dettinger; Hans Braxmeier; Heiko Folkerts; Markus Klingler; Dominik Maschke; Gerd Mayer; Markus Müller; Alexander Neubeck; et al. (RoboCup, 1998)

The Ulm Sparrows 99. - Stefan Sablatnög; Stefan Enderle; Mark Dettinger; Thomas Boß; Mohammad Ali Livani; Michael Dietz; Jan Giebel; Urban Meis; Heiko Folkerts; Alexander Neubeck; Peter Schaeffer; Marcus Ritter; et al. (RoboCup, 1999)

Vision-Based Localization in RoboCup Environments. - Stefan Enderle; Marcus Ritter; Dieter Fox; Stefan Sablatnög; Gerhard K. Kraetzschmar; Günther Palm (RoboCup, 2000)

Vision-Based Robot Localization Using Sporadic Features. - Stefan Enderle; Heiko Folkerts; Marcus Ritter; Stefan Sablatnög; Gerhard K. Kraetzschmar; Günther Palm (RobVis, 2001)

Vision-based localization for mobile robots. - Giovanni Adorni; Stefano Cagnoni; Stefan Enderle; Gerhard K. Kraetzschmar; Monica Mordonini; Michael Plagge; Marcus Ritter; Stefan Sablatnög; Andreas Zell (Robotics Auton. Syst., 2001)

Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. - Marcus Ritter; Alexandru Calotoiu; Sebastian Rinke; Thorsten Reimann; Torsten Hoefler; Felix Wolf 001 (IPDPS, 2020)

Empirical Modeling of Spatially Diverging Performance. - Alexandru Calotoiu; Markus Geisenhofer; Florian Kummer; Marcus Ritter; Jens Weber 003; Torsten Hoefler; Martin Oberlack; Felix Wolf 001 (HUST/ProTools@SC, 2020)

ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications. - Alexandru Calotoiu; Marcin Copik; Torsten Hoefler; Marcus Ritter; Sergei Shudler; Felix Wolf 001 (Software for Exascale Computing, 2020)

Noise-Resilient Empirical Performance Modeling with Deep Neural Networks. - Marcus Ritter; Alexander Geiß; Johannes Wehrstein; Alexandru Calotoiu; Thorsten Reimann; Torsten Hoefler; Felix Wolf 001 (IPDPS, 2021)

Conquering Noise With Hardware Counters on HPC Systems. - Marcus Ritter; Ahmad Tarraf; Alexander Geiß; Nour Daoud; Bernd Mohr; Felix Wolf 001 (ProTools@SC, 2022)

Extra-Deep: Automated Empirical Performance Modeling for Distributed Deep Learning. - Marcus Ritter; Felix Wolf 001 (SC Workshops, 2023)

Performance Measurement Dataset of the HPC Benchmarks FASTEST, Kripke, LULESH, MiniFE, Quicksilver, and RELeARN for Scalability Studies with Extra-P. - Marcus Ritter; Alexandru Calotoiu; Sebastian Rinke; Thorsten Reimann; Torsten Hoefler; Felix Wolf 001 (Zenodo, 2023)

Extra-P: Automated performance modeling for HPC applications. - Marcus Ritter; Alexander Geiß; Alexandru Calotoiu; Felix Wolf 001 (Zenodo, 2023)

Low-Latency Real-Time Applications on Heterogeneous MPSoCs. - Nicolas Coppik; Pascal Becker; Marcus Ritter (NG-RES@HiPEAC, 2025)