Constantin A. Rothkopf

According to our database, Constantin A. Rothkopf authored at least 53 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Solving Bongard Problems With a Visual Language and Pragmatic Constraints.

Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel

Cogn. Sci., May, 2024

Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Antonia Wüst, Tim Nelson Tobiasch, Lukas Helff, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

CoRR, 2024

Inverse decision-making using neural amortized Bayesian actors.

Dominik Straub, Tobias F. Niehues, Jan Peters, Constantin A. Rothkopf

CoRR, 2024

From human explanations to explainable AI: Insights from constrained optimization.

Inga Ibs, Claire Ott, Frank Jäkel, Constantin A. Rothkopf

Cogn. Syst. Res., 2024

What Matters for Active Texture Recognition With Vision-Based Tactile Sensors.

Alina Böhm, Tim Schneider, Boris Belousov, Alap Kshirsagar, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Constantin A. Rothkopf, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Probabilistic inverse optimal control with local linearization for non-linear partially observable systems.

Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf

CoRR, 2023

Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts.

Florian Kadner, Tobias Thomas, David Hoppe, Constantin A. Rothkopf

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

What Can I Help You With: Towards Task-Independent Detection of Intentions for Interaction in a Human-Robot Environment.

Susanne Trick, Vilja Lott, Lisa Scherf, Constantin A. Rothkopf, Dorothea Koert

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs.

Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Individualized Automatic Content Magnification in Gaze-based Interaction.

Florian Eggenkemper, Lars Kölker, Mike Valente, Constantin A. Rothkopf, Robert Mertens

Proceedings of the IEEE International Symposium on Multimedia, 2023

People use Newtonian physics in intuitive sensorimotor decisions under risk.

Fabian Tatai, Dominik Straub, Constantin A. Rothkopf

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior.

Florian Kadner, Hannah Willkomm, Inga Ibs, Constantin A. Rothkopf

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Speaking Multiple Languages Affects the Moral Bias of Language Models.

Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice.

Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert

IEEE Robotics Autom. Lett., 2022

Large pre-trained language models contain human-like biases of what is right and wrong to do.

Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting

Nat. Mach. Intell., 2022

Reinforcement Learning with Non-Exponential Discounting.

Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Classifier Fusion with an Explicit Model of Correlation.

Susanne Trick, Constantin A. Rothkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Inferring perceptual decision making parameters from behavior in production and reproduction tasks.

Nils Neupärtl, Constantin A. Rothkopf

CoRR, 2021

Structural Causal Interpretation Theorem.

Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

CoRR, 2021

A Normative Model of Classifier Fusion.

Susanne Trick, Constantin A. Rothkopf

CoRR, 2021

Language Models have a Moral Dimension.

Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting

CoRR, 2021

Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System.

Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization.

Florian Kadner, Yannik Keller, Constantin A. Rothkopf

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Intuitive physical reasoning about objects' masses transfers to a visuomotor decision task consistent with Newtonian physics.

Nils Neupärtl, Fabian Tatai, Constantin A. Rothkopf

PLoS Comput. Biol., 2020

The Moral Choice Machine.

Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting

Frontiers Artif. Intell., 2020

Applying Psychophysics to Applied Spatial Cognition Research.

Julia Frankenstein, Fabian Kessler, Constantin A. Rothkopf

Proceedings of the Spatial Cognition XII - 12th International Conference, 2020

Alfie: An Interactive Robot with Moral Compass.

Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019

Learning Intention Aware Online Adaptation of Movement Primitives.

Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters

IEEE Robotics Autom. Lett., 2019

BERT has a Moral Compass: Improvements of ethical and moral values of machines.

Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting

CoRR, 2019

Was ist eine Professur fuer Kuenstliche Intelligenz?

Kristian Kersting, Jan Peters, Constantin A. Rothkopf

CoRR, 2019

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.

Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Actor-Critic Instance Segmentation.

Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices.

Sophie F. Jentzsch, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Modeling sensory-motor decisions in natural behavior.

Ruohan Zhang, Shun Zhang, Matthew H. Tong, Yuchen Cui, Constantin A. Rothkopf, Dana H. Ballard, Mary M. Hayhoe

PLoS Comput. Biol., 2018

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning.

Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel

CoRR, 2018

2017

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.

Quan Wang, Constantin A. Rothkopf, Jochen Triesch

PLoS Comput. Biol., 2017

Model-Driven Simulations for Computer Vision.

V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Adversarially Tuned Scene Generation.

V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.

Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Model-driven Simulations for Deep Convolutional Neural Networks.

V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh

CoRR, 2016

Catching heuristics are optimal control policies.

Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan Peters

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Minimal sequential gaze models for inferring walkers' tasks.

Constantin A. Rothkopf

Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2016

2015

Model Validation for Vision Systems via Graphics Simulation.

V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh

CoRR, 2015

Simulations for Validation of Vision Systems.

V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh

CoRR, 2015

2013

Modular inverse reinforcement learning for visuomotor behavior.

Constantin A. Rothkopf, Dana H. Ballard

Biol. Cybern., 2013

Learning and Coordinating Repertoires of Behaviors with Common Reward: Credit Assignment and Module Activation.

Constantin A. Rothkopf, Dana H. Ballard

Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

Generalization and Interference in Human Motor Control.

Luca Lonini, Christos Dimitrakakis, Constantin A. Rothkopf, Jochen Triesch

Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012

A unified model of the joint development of disparity selectivity and vergence control.

Yu Zhao, Constantin A. Rothkopf, Jochen Triesch, Bertram E. Shi

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

2011

Preference Elicitation and Inverse Reinforcement Learning.

Constantin A. Rothkopf, Christos Dimitrakakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems.

Hazem Toutounji, Constantin A. Rothkopf, Jochen Triesch

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Reward-based learning of optimal cue integration in audio and visual depth estimation.

Cem Karaoguz, Thomas H. Weisswange, Tobias Rodemann, Britta Wrede, Constantin A. Rothkopf

Proceedings of the 15th International Conference on Advanced Robotics: New Boundaries for Robotics, 2011

Bayesian Multitask Inverse Reinforcement Learning.

Christos Dimitrakakis, Constantin A. Rothkopf

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2004

Head movement estimation for wearable eye tracker.

Constantin A. Rothkopf, Jeff B. Pelz

Proceedings of the Eye Tracking Research & Application Symposium, 2004