news

Oct 31, 2024 My shared first-author paper with Tobias Niehues “Inverse decision-making using neural amortized Bayesian actors” has been accepted at the International Conference on Learning Representations (ICLR) 2025. Preprint available!
Oct 31, 2024 I submitted my PhD thesis Inverse normative modeling of continuous perception and action today!
Apr 04, 2024 My paper “If it looks like online control, it is probably model-based control” with Constantin Rothkopf has been accepted at the Annual Meeting of the Cognitive Science Society. Preprint on PsyArXiv available now!
Feb 08, 2024 I will be at VSS 2024 with three abstracts on continuous psychophysics, Bayesian modeling, and intuitive physics. Write me an email if you want to meet :)
Jan 12, 2024 New paper published in Nature Human Behaviour with Tobias Thomas, Fabian Tatai and others: Modelling dataset bias in machine-learned theories of economic decision-making.
Sep 29, 2023 Our submission to NeurIPS 2023 has been accepted! Check out our preprint on arXiv.
Apr 21, 2023 New paper out today in Psychological Research: Huaiyong Zhao, Dominik Straub, Constantin A. Rothkopf: People learn a two-stage control for faster locomotor interception
Apr 06, 2023 Our submission to CogSci 2023 has been accepted! Fabian Tatai, Dominik Straub, Constantin A. Rothkopf: ‘People use Newtonian physics in intuitive sensorimotor decisions under risk’
Sep 29, 2022 My paper with Constantin Rothkopf ‘Putting perception into action with inverse optimal control for continuous psychophysics’ has been published in eLife!
Jun 30, 2022 Our keynote & tutorial ‘Putting perception into action: Inverse optimal control for continuous psychophysics’ has been accepted to the 2022 Conference on Cognitive Computational Neuroscience (CCN).
Feb 23, 2022 I will be receiving a John I. Yellott Travel Award at the 2022 meeting of the Vision Sciences Society.
Jan 28, 2022 I am participating in COSYNE with a poster: Dominik Straub, Matthias Schultheis, Constantin Rothkopf: Inferring implicit sensorimotor costs by inverse optimal control with signal dependent noise
Sep 28, 2021 New paper accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS): Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf: Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System