78 citations · 201 across the 22 of their papers we have counts for
23 papers
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors
Alina Böhm, Tim Schneider, Boris Belousov +6
This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active samplin…
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Dominik Straub, Matthias Schultheis, Heinz Koeppl +1
Inverse optimal control can be used to characterize behavior in sequential decision-making tasks. Most existing work, however, is limited to fully observable or linear systems, or…
Speaking Multiple Languages Affects the Moral Bias of Language Models
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski +4
Pre-trained multilingual language models (PMLMs) are commonly used when dealing with data from multiple languages and cross-lingual transfer. However, PMLMs are trained on varying…
Reinforcement Learning with Non-Exponential Discounting
Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
Commonly in reinforcement learning (RL), rewards are discounted over time using an exponential function to model time preference, thereby bounding the expected long-term reward. In…
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts
Florian Kadner, Tobias Thomas, David Hoppe +1
The human prioritization of image regions can be modeled in a time invariant fashion with saliency maps or sequentially with scanpath models. However, while both types of models ha…
Inferring perceptual decision making parameters from behavior in production and reproduction tasks
Nils Neupärtl, Constantin A. Rothkopf
Bayesian models of behavior have provided computational level explanations in a range of psychophysical tasks. One fundamental experimental paradigm is the production or reproducti…