Tobias F. Niehues

Tobias Niehues has joined the lab as a PhD student in April 2024. He is working on the ERC project “ACTOR” and is part of the European Laboratories for Learning and Intelligent Systems (ELLIS).

My research interests include computational modeling for inverse decision-making in human behavior to learn about the parameters that shape our everyday behavior, as well as the interplay of perception & action.

I am also interested in methods from machine learning and how they can be used to improve our understanding of human behavior or, vice versa, machine learning may be improved by our knowledge of human cognition.

• Straub, D.*, Niehues, T. F.*, Peters, J., & Rothkopf, C. A. (2025). Inverse decision-making using neural amortized Bayesian actors. The Thirteenth International Conference on Learning Representations (ICLR). [paper (opens in new tab)] [code] [talk] [preprint]
• Niehues, T. F.*, Straub, D.*, & Rothkopf, C. A. (2024). Bayesian inference of perceptual uncertainty, behavioral costs, and prior beliefs for continuous perception-action tasks. Journal of Vision, 24(10), 376-376.
  [abstract]

*both authors contributed equally

• Niehues, T. F., Straub, D. & Rothkopf, C. A. (2025). Amortized Bayesian decision-making for inferring decision-making parameters from behavior.Amortized ProbML Workshop & ELLIS UnConference @ EurIPS 2025(Posters)
• Niehues, T. F., Straub, D. & Rothkopf, C. A. (2025). Prior beliefs and cost functions in sensorimotor decision-making vary idiosyncratically. 47th European Conference on Visual perception (ECVP) (Poster)
• Niehues, T. F., Straub, D. & Rothkopf, C. A. (2025). Revisiting Cost Functions in Sensorimotor Decision-Making. 8th Annual Conference on Cognitive Computational Neuroscience (CCN) (accepted as a Poster, 2-Page-Track) [pdf (opens in new tab)]