Tobias Niehues
@tobnie.bsky.social
140 followers 190 following 4 posts
ELLIS PhD Student @ Centre for Cognitive Science, Technical University of Darmstadt | (Inverse) Computational Modeling of Sensorimotor Behavior | https://tobias-niehues.com/
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Reposted by Tobias Niehues
ben.graphics
G'day #ECVP!
Today, three more colleagues present their posters.

38: @celinehonekamp.bsky.social will introduce you to dual adaptation in the temporal domain.

48: Tarek will present a relative depth experiment conducted on the multifocal display he built.
Reposted by Tobias Niehues
ben.graphics
Good morning #ECVP!
Today, two of my colleagues are presenting their posters in the morning and afternoon session 🎉

Lina will introduce you to (mismatching) causal relationships and @lreining.bsky.social will introduce you to MooneyMaker, a Python package to create ambiguous two-tone images.
Reposted by Tobias Niehues
celinehonekamp.bsky.social
#ECVP2025 be ready: my poster on repeated exposure to delay in two different tasks is up on Thursday 15:30-17:00 (No 38)

Come and say hi
tobnie.bsky.social
I'd be glad to see a lot of people at our poster on Tuesday, August 26th, 10-11.30am at #ECVP2025 and tell you more about which cost functions shape your behavior in sensorimotor decision-making!
tobnie.bsky.social
I'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
Upper left sketch shows the problem description the paper tackles, which is the decision-making problem that the subject needs to solve versus the inverse problem about the behavioral parameters that the researcher wants to infer. Bottom left sketch shows probabilistic graphical model of the behavior as formalized in our framework. Right panel shows the results of the paper. From top to bottom it shows example data, results of the model comparison, inferred cost functions and inferred prior beliefs of the subject. Five tasks are organized in columns by which cost function described subjects' behavior in the respective task best. We found three different cost functions, None of which are quadratic.
tobnie.bsky.social
If 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
Reposted by Tobias Niehues
dominikstrb.bsky.social
We just updated the preprint of our amortized Bayesian decision-making paper (accepted at @iclr-conf.bsky.social #ICLR2025)

What's new:
- disentangling the effect of priors and costs
- model comparison between different cost functions on three sensorimotor tasks
Reposted by Tobias Niehues
jan-peters.bsky.social
Great work by great students, alumni Julen Urain, Carlo D'Eramo, Boris Belousov & Jens Kober and with our great collaborators Constantin A. Rothkopf! Happy with the 2025 results at International Conference on Learning Representations (ICLR).
Reposted by Tobias Niehues
fatatai.bsky.social
Hello Bluesky,
with my first post, I would like to announce that my first first-author paper is out now!

Have you ever wondered whether people account for Newtonian physics when interacting with objects?

Together with @dominikstrb.bsky.social and @c-rothkopf.bsky.social we show that they do!
tobnie.bsky.social
Thank you for setting this up! Would greatly appreciate it if you could add me as well.