Constantin Rothkopf
Computational cognitive scientist. Perception and action are inseparably intertwined. Prof TUDarmstadt, Director Centre For Cognitive Science cogsci.tu-darmstadt.de/, Member Hessian.AI hessian.ai & ELLIS
https://www.pip.tu-darmstadt.de
- Want to model and simulate human behavior in tasks when interacting with liquids? Check out our work Niteesh Midlagajn & Constantin Rothkopf, Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks, presented at @logconference.bsky.social
- Reposted by Constantin RothkopfAre you looking for a PhD in machine learning? 🧠 ELIZA is hiring a Doctoral Researcher at TU Darmstadt! Apply by Jan 5: www.career.tu-darmstadt.de/tu-darmstadt... ℹ️ Learn more about ELIZA: eliza.school @tuda.bsky.social, @cs-tudarmstadt.bsky.social, @ellis.eu, @daadworldwide.bsky.social #AI
- 🚀🎓We have exciting opportunities at the PhD and Postdoc level, including in the new Simons Collaboration on Ecological Neuroscience, a 10-year initiative spanning a powerful international network of labs working across species and disciplines - please reach out if interested bsky.app/profile/simo...
- We are excited to announce our new Simons Collaboration on Ecological Neuroscience (SCENE)! This program will unite experts in experimental and computational #neuroscience approaches to investigate how the brain represents sensorimotor interactions. www.simonsfoundation.org/2025/04/24/s... #science
- Matthias Schultheis is presenting our latest work on understanding the behavior of bounded agents in more naturalistic tasks at #NeurIPS2025: What do you know? Bayesian knowledge inference for navigating agents with Jana-Sophie Schönfeld and Heinz Koeppl neurips.cc/virtual/2025...
- Tobias Niehues @tobnie.bsky.social is presenting our work with @dominikstrb.bsky.social 'Amortized Bayesian decision-making for inferring decision-making parameters from behavior' at the Amortized ProbML Workshop and the @ellis.eu UnConference. Please come by our poster!
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- Join our world-class #ClusterOfExcellence on Reasonable AI as a PhD student in one of the four labs. More info, particularly on the Challenging AI with Cognitive Science Lab (CAI) & application 👉 hessian.ai/call-for-app...
- Only one day left to apply to the European Laboratory for Learning & Intelligent Systems (ELLIS) and work with us @ellis.eu ellis.eu/news/ellis-p...
- If neuroscience needs behavior, then it also needs control theory ... but that's not the only reason: check out the workshop at #Bernsteinconference bernstein-network.de/bernstein-co...
- Looking forward to meeting you #ECVP2025 Mainz this week, including collaborative work with @tobnie.bsky.social @dominikstrb.bsky.social @ookenfooken.bsky.social @fatatai.bsky.social @tsawallis.bsky.social @mamassian.bsky.social @guidomaiello.bsky.social @mariaeckstein.bsky.social and many others
- Reposted by Constantin RothkopfI'm presenting our work "Revisiting Cost Functions in Sensorimotor Decision-Making" at #CCN2025! Stop by our poster (@dominikstrb.bsky.social, @c-rothkopf.bsky.social) and learn more about how to rethink common modeling assumptions. 📅 When: Friday, August 15, 2pm–5pm 📍 Where: De Brug, Poster C1
- Reposted by Constantin RothkopfHappy to announce that I am presenting a poster today at #CogSci25: Physical reasoning during motor learning aids people at transferring mass, but not motor control mappings. This is joint work with Dominik Ürüm, @mariaeckstein.bsky.social and @c-rothkopf.bsky.social Find out more at P3-T-192!
- We have an open PhD position in an exciting @dfg.de - @ageinves.bsky.social project to further develop continuous psychophysics in collaboration with Joan-Lopez Moliner.
- Reposted by Constantin RothkopfExcited to share that our paper got accepted at #ICML2025!! 🎉 We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings. Check out the paper: arxiv.org/abs/2410.19546 & read more below 👇
- Happy to contribute to the Natural Environments Tasks and Intelligence (NETI) workshop at UT Austin with a talk on "Computational elements of goal-directed sensorimotor behavior". You can follow the live-stream at the workshop's website liberalarts.utexas.edu/cps/neti-wor...
- Very excited to be part of the Simons collaboration on ecological neuroscience @simonsfoundation.org together with this fantastic team! Theory-driven investigation of where representations for perception, cognition, and action in ecological tasks come from. POMDPs FTW. Stay tuned for job openings...
- We are excited to announce our new Simons Collaboration on Ecological Neuroscience (SCENE)! This program will unite experts in experimental and computational #neuroscience approaches to investigate how the brain represents sensorimotor interactions. www.simonsfoundation.org/2025/04/24/s... #science
- Reposted by Constantin RothkopfIf you wanna find out how to overcome Gaussian distribution and quadratic cost assumptions in Bayesian decision-making models AND how to perform inference over their parameters, swing by our poster at #ICLR2025 in Singapore! 📅 When: Friday, April 25, 10am–12:30pm 📍 Where: Halls 3 + 2B, Poster #61
- Congratulations to Matthias Schultheis for defending his PhD thesis 'Inverse reinforcement learning for human decision-making under uncertainty' with distinction. Significant contributions to understanding bounded actors with inverse POMDPs for partial observabilities and non-stationary behavior
- Matthias was co-advised together with Heinz Koeppl.
- How to model and estimate non-exponential time preferences? Commonly in reinforcement learning, rewards are discounted over time using an exponential function to model time preference. In contrast, in economics and psychology, it has been shown that humans often adopt a hyperbolic discounting scheme
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View full threadMore work still to appear ...
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- Congratulations to @dominikstrb.bsky.social for defending his PhD thesis 'Inverse normative modeling of continuous perception and action' with distinction, with significant contributions to understanding bounded actors with inverse models, reconciling normative and descriptive models of behavior
- Performing efficient gradient-based Bayesian inference of Bayesian actor models' parameters allows principled model comparison and disentangling factors that may lead to unidentifiabilities between priors and costs
- Straub∗, D., Niehues∗, T. F., Peters, J., & Rothkopf, C. A. (2025). Inverse decision-making using neural amortized Bayesian actors. ICLR.
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View full threadHow inverse modeling can speak to algorithmic level descriptions of human behavior and the heuristics debate: What to conclude if a dynamical system model fits behavior? If it looks like online control, it is probably model-based control. Proceedings of the Annual Meeting of the Cog Sci Society
- Reposted by Constantin RothkopfPlease join us at our @cosynemeeting.bsky.social 2025 Workshop on Navigation under Uncertainty, organized by Máté Lengyel (Cambridge & CEU) and myself, and taking place on March 31 in the Fairmont Tremblant, Mont-Tremblant, Canada. #neuroskyence 🧠
- Reposted by Constantin Rothkopf🧠✨ Save the Date! The third Neuroscience of the Everyday World Conference will take place at Boston University on July 28-29, 2025. Check out our fantastic lineup of speakers featuring cutting-edge brain research in everyday life situations: neuroscienceeverydayworld.org/conference-2...
