GPU Optimization of Pseudo Random Number Generators for Random Ordinary Differential Equations. - Christoph Riesinger; Tobias Neckel; Florian Rupp; Alfredo Parra-Hinojosa; Hans-Joachim Bungartz (ICCS, 2014)

Kaizen teaching and the learning habits of engineering students in a freshman mathematics course. - Jonas Gallenkämper; Bernhard Heim; Judith Kreuzer; Florian Rupp; Paul von Stockhausen; Nils Viet (Central Eur. J. Oper. Res., 2016)

Solving Random Ordinary Differential Equations on GPU Clusters using Multiple Levels of Parallelism. - Christoph Riesinger; Tobias Neckel; Florian Rupp (SIAM J. Sci. Comput., 2016)

Non-standard pseudo random number generators revisited for GPUs. - Christoph Riesinger; Tobias Neckel; Florian Rupp (Future Gener. Comput. Syst., 2018)

Power in Networks: A PGI Analysis of Krackhardt's Kite Network. - Manfred J. Holler; Florian Rupp (Trans. Comput. Collect. Intell., 2019)

Imaginary Powers of the Dedekind Eta Function. - Bernhard Heim; Markus Neuhauser; Florian Rupp (Exp. Math., 2020)

Some Strategic Decision Problems in Networks. - Manfred J. Holler; Florian Rupp (Trans. Comput. Collect. Intell., 2020)

Easy and Complex: New Perspectives for Metadata Modeling Using RDF-Star and Named Graphs. - Florian Rupp; Benjamin Schnabel; Kai Eckert 001 (KGSWC, 2022)

Balancing of competitive two-player Game Levels with Reinforcement Learning. - Florian Rupp; Manuel Eberhardinger; Kai Eckert 001 (CoG, 2023)

GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms. - Florian Rupp; Kai Eckert 001 (CEC, 2024)

G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning. - Florian Rupp; Kai Eckert 001 (CoG, 2024)

It might be balanced, but is it actually good? An Empirical Evaluation of Game Level Balancing. - Florian Rupp; Alessandro Puddu; Christian Becker-Asano; Kai Eckert 001 (CoG, 2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. - Manuel Eberhardinger; Florian Rupp; Johannes Maucher; Setareh Maghsudi (ICSI (1), 2024)

Implementing Data Workflows and Data Model Extensions with RDF-star. - Florian Rupp; Benjamin Schnabel; Kai Eckert 001 (Electron. Libr., 2024)

Simulation-Driven Balancing of Competitive Game Levels With Reinforcement Learning. - Florian Rupp; Manuel Eberhardinger; Kai Eckert 001 (IEEE Trans. Games, 2024)

Deceptive Game Design? Investigating the Impact of Visual Card Style on Player Perception. - Leonie Kallabis; Timo Bertram; Florian Rupp (CoG, 2025)

A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching. - Christoph Kern 001; Jakob Kappenberger; Frederic Gerdon; Clara Strasser Ceballos; Daria Szafran; Florian Rupp; Ruben L. Bach (EWAF, 2025)

Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning. - Florian Rupp; Kai Eckert 001 (FDG, 2025)