Constantin A. Rothkopf

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 51

Top Topics

Texture Recognition

Optimal Control

Partially Observable

Invariance Properties

Top Venues

PLoS Comput. Biol.

IEEE Robotics Autom. Lett.

Publications

Alina Böhm, Tim Schneider, Boris Belousov, Alap Kshirsagar, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Constantin A. Rothkopf, Jan Peters
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. CoRR (2024)
Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
Solving Bongard Problems With a Visual Language and Pragmatic Constraints. Cogn. Sci. 48 (5) (2024)
Alina Böhm, Tim Schneider, Boris Belousov, Alap Kshirsagar, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Constantin A. Rothkopf, Jan Peters
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. ICRA (2024)
Florian Kadner, Tobias Thomas, David Hoppe, Constantin A. Rothkopf
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts. WACV (2023)
Fabian Tatai, Dominik Straub, Constantin A. Rothkopf
People use Newtonian physics in intuitive sensorimotor decisions under risk. CogSci (2023)
Florian Kadner, Hannah Willkomm, Inga Ibs, Constantin A. Rothkopf
Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. CogSci (2023)
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
Speaking Multiple Languages Affects the Moral Bias of Language Models. ACL (Findings) (2023)
Florian Eggenkemper, Lars Kölker, Mike Valente, Constantin A. Rothkopf, Robert Mertens
Learning Individualized Automatic Content Magnification in Gaze-based Interaction. ISM (2023)
Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems. CoRR (2023)
Susanne Trick, Vilja Lott, Lisa Scherf, Constantin A. Rothkopf, Dorothea Koert
What Can I Help You With: Towards Task-Independent Detection of Intentions for Interaction in a Human-Robot Environment. RO-MAN (2023)
Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs. NeurIPS (2023)
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
Speaking Multiple Languages Affects the Moral Bias of Language Models. CoRR (2022)
Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
Reinforcement Learning with Non-Exponential Discounting. NeurIPS (2022)
Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
Reinforcement Learning with Non-Exponential Discounting. CoRR (2022)
Susanne Trick, Constantin A. Rothkopf
Bayesian Classifier Fusion with an Explicit Model of Correlation. AISTATS (2022)
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting
Large pre-trained language models contain human-like biases of what is right and wrong to do. Nat. Mach. Intell. 4 (3) (2022)
Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert
Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. IEEE Robotics Autom. Lett. 7 (3) (2022)
Florian Kadner, Tobias Thomas, David Hoppe, Constantin A. Rothkopf
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts. CoRR (2022)
Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System. CoRR (2021)
Nils Neupärtl, Constantin A. Rothkopf
Inferring perceptual decision making parameters from behavior in production and reproduction tasks. CoRR (2021)
Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System. NeurIPS (2021)
Florian Kadner, Yannik Keller, Constantin A. Rothkopf
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization. CoRR (2021)
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting
Language Models have a Moral Dimension. CoRR (2021)
Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
Structural Causal Interpretation Theorem. CoRR (2021)
Florian Kadner, Yannik Keller, Constantin A. Rothkopf
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization. CHI (2021)
Susanne Trick, Constantin A. Rothkopf
A Normative Model of Classifier Fusion. CoRR (2021)
Nils Neupärtl, Fabian Tatai, Constantin A. Rothkopf
Intuitive physical reasoning about objects' masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS Comput. Biol. 16 (10) (2020)
Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
Alfie: An Interactive Robot with a Moral Compass. CoRR (2020)
Julia Frankenstein, Fabian Kessler, Constantin A. Rothkopf
Applying Psychophysics to Applied Spatial Cognition Research. Spatial Cognition (2020)
Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting
The Moral Choice Machine. Frontiers Artif. Intell. 3 (2020)
Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
Alfie: An Interactive Robot with Moral Compass. ICMI (2020)
Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting
BERT has a Moral Compass: Improvements of ethical and moral values of machines. CoRR (2019)
Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth
Actor-Critic Instance Segmentation. CoRR (2019)
Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. IROS (2019)
Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. CoRR (2019)
Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters
Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics Autom. Lett. 4 (4) (2019)
Sophie F. Jentzsch, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. AIES (2019)
Kristian Kersting, Jan Peters, Constantin A. Rothkopf
Was ist eine Professur fuer Kuenstliche Intelligenz? CoRR (2019)
Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth
Actor-Critic Instance Segmentation. CVPR (2019)
Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning. CoRR (2018)
Ruohan Zhang, Shun Zhang, Matthew H. Tong, Yuchen Cui, Constantin A. Rothkopf, Dana H. Ballard, Mary M. Hayhoe
Modeling sensory-motor decisions in natural behavior. PLoS Comput. Biol. 14 (10) (2018)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Adversarially Tuned Scene Generation. CVPR (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Adversarially Tuned Scene Generation. CoRR (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Model-Driven Simulations for Computer Vision. WACV (2017)
Quan Wang, Constantin A. Rothkopf, Jochen Triesch
A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. PLoS Comput. Biol. 13 (8) (2017)
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. AAAI (2017)
Constantin A. Rothkopf
Minimal sequential gaze models for inferring walkers' tasks. MobileHCI Adjunct (2016)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Model-driven Simulations for Deep Convolutional Neural Networks. CoRR (2016)
Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan Peters
Catching heuristics are optimal control policies. NIPS (2016)
V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
Simulations for Validation of Vision Systems. CoRR (2015)
V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
Model Validation for Vision Systems via Graphics Simulation. CoRR (2015)
Constantin A. Rothkopf, Dana H. Ballard
Modular inverse reinforcement learning for visuomotor behavior. Biol. Cybern. 107 (4) (2013)
Yu Zhao, Constantin A. Rothkopf, Jochen Triesch, Bertram E. Shi
A unified model of the joint development of disparity selectivity and vergence control. ICDL-EPIROB (2012)
Christos Dimitrakakis, Constantin A. Rothkopf
Bayesian Multitask Inverse Reinforcement Learning. EWRL (2011)
Cem Karaoguz, Thomas H. Weisswange, Tobias Rodemann, Britta Wrede, Constantin A. Rothkopf
Reward-based learning of optimal cue integration in audio and visual depth estimation. ICAR (2011)
Constantin A. Rothkopf, Christos Dimitrakakis
Preference Elicitation and Inverse Reinforcement Learning. ECML/PKDD (3) (2011)
Hazem Toutounji, Constantin A. Rothkopf, Jochen Triesch
Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems. ICDL-EPIROB (2011)
Constantin A. Rothkopf, Christos Dimitrakakis
Preference elicitation and inverse reinforcement learning CoRR (2011)
Christos Dimitrakakis, Constantin A. Rothkopf
Bayesian multitask inverse reinforcement learning CoRR (2011)
Constantin A. Rothkopf, Jeff B. Pelz
Head movement estimation for wearable eye tracker. ETRA (2004)