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Kai Konen
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2020 – today
- 2024
- [c6]Kai Konen, Sophie Jentzsch, Diaoulé Diallo, Peer Schütt, Oliver Bensch, Roxanne El Baff, Dominik Opitz, Tobias Hecking:
Style Vectors for Steering Generative Large Language Models. EACL (Findings) 2024: 782-802 - [c5]Roxanne El Baff, Khalid Al Khatib, Milad Alshomary, Kai Konen, Benno Stein, Henning Wachsmuth:
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models. EMNLP (Findings) 2024: 4604-4622 - [i2]Kai Konen, Sophie Jentzsch, Diaoulé Diallo, Peer Schütt, Oliver Bensch, Roxanne El Baff, Dominik Opitz, Tobias Hecking:
Style Vectors for Steering Generative Large Language Model. CoRR abs/2402.01618 (2024) - 2022
- [j1]Kai Konen, Tobias Hecking:
Using Synthetic Images to Evaluate and Improve Object Detection Neural Network Performance on Aerial Image Datasets. Int. J. Semantic Comput. 16(3): 339-356 (2022) - [c4]Ridvan Salih Kuzu, Frauke Albrecht, Caroline Arnold, Roshni Kamath, Kai Konen:
Predicting Soil Properties from Hyperspectral Satellite Images. ICIP 2022: 4296-4300 - 2021
- [c3]Kai Konen, Tobias Hecking:
Increased Robustness of Object Detection on Aerial Image Datasets using Simulated Imagery. AIKE 2021: 1-8 - 2020
- [c2]Malte Schilling, Kai Konen, Timo Korthals:
Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. BioRob 2020: 946-953 - [c1]Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals:
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. IROS 2020: 5335-5342 - [i1]Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals:
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. CoRR abs/2005.11164 (2020)
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