- Ott, C., Ibs, I., Rothkopf, C. A., & Jäkel, F. (2025). Towards a taxonomy of tasks for human sequential decision-making. Thinking & Reasoning, 1–35. https://doi.org/10.1080/13546783.2025.2453151
- Ibs, I., Ott, C., Jäkel, F., & Rothkopf, C. A. (2024). From human explanations to explainable ai: Insights from constrained optimization. Cognitive Systems Research, Volume 88, December 2024, 101297. https://doi.org/10.1016/j.cogsys.2024.101297
- Ibs, I., Schäfer, J., & Rothkopf, C. A. (2024). Exploring How Information Shapes Human Inference from Demonstrations. Computational Cognitive Neuroscience (CCN 2024 Boston)
- Ibs, I., Tegtmeier, I., & Rothkopf, C.A. (2025). Modelling the Effects of Limited Information on Human Reward Inference with Inverse Reinforcement Learning. Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2025
- Wüst, A., Tobiasch, T., Helff, L., Ibs, I., Stammer, W., Dhami, D. S., Rothkopf C. A. & Kersting, K. Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?. Proceedings of the Forty-second International Conference on Machine Learning (ICML 2025).
- Ibs, I., & Rothkopf C.A. (2025). Generating Rationales Based on Human Explanations for Constrained Optimization. The 3rd World Conference on eXplainable Artificial Intelligence (XAI-2025).
Hier finden Sie eine umfassende Auflistung der WhiteBox-Publikationen
