Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. - Malte Schilling; Kai Konen; Timo Korthals (BioRob, 2020)

Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. - Malte Schilling; Kai Konen; Frank W. Ohl; Timo Korthals (IROS, 2020)

Increased Robustness of Object Detection on Aerial Image Datasets using Simulated Imagery. - Kai Konen; Tobias Hecking (AIKE, 2021)

Predicting Soil Properties from Hyperspectral Satellite Images. - Ridvan Salih Kuzu; Frauke Albrecht; Caroline Arnold; Roshni Kamath; Kai Konen (ICIP, 2022)

Using Synthetic Images to Evaluate and Improve Object Detection Neural Network Performance on Aerial Image Datasets. - Kai Konen; Tobias Hecking (Int. J. Semantic Comput., 2022)

Style Vectors for Steering Generative Large Language Models. - Kai Konen; Sophie Jentzsch; Diaoulé Diallo; Peer Schütt; Oliver Bensch; Roxanne El Baff; Dominik Opitz; Tobias Hecking (EACL (Findings), 2024)

Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models. - Roxanne El Baff; Khalid Al Khatib; Milad Alshomary; Kai Konen; Benno Stein 001; Henning Wachsmuth (EMNLP (Findings), 2024)

Style Vectors for Steering Generative Large Language Model. - Kai Konen; Sophie Jentzsch; Diaoulé Diallo; Peer Schütt; Oliver Bensch; Roxanne El Baff; Dominik Opitz; Tobias Hecking (CoRR, 2024)