Constantin A. Rothkopf

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Dana BallardProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Jochen TrieschFrankfurt Institute for Advanced StudiesVerified email at fias.uni-frankfurt.de
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Mary HayhoeProfessor of Psychology, University of Texas AustinVerified email at utexas.edu
Dominik StraubTechnische Universität DarmstadtVerified email at tu-darmstadt.de
Patrick SchramowskiTU DarmstadtVerified email at cs.tu-darmstadt.de
Cigdem Turan-SchwiewagerSenior Computer Vision Scientist at KorroAIVerified email at korro.ai
David HoppePsychology of Information Processing, Technical University DarmstadtVerified email at psychologie.tu-darmstadt.de
Susanne TrickPostdoctoral Researcher, TU DarmstadtVerified email at cogsci.tu-darmstadt.de
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Brian SullivanUniversity of BristolVerified email at bristol.ac.uk
Christos DimitrakakisProfessor, University of NeuchatelVerified email at alumni.epfl.ch
Visvanathan RameshProfessor of Software Engineering (Vision Systems), Goethe University, FrankfurtVerified email at em.uni-frankfurt.de
Gabriel J. DiazAssociate Professor, Rochester Institute of TechnologyVerified email at rit.edu
Frank JäkelTU DarmstadtVerified email at psychologie.tu-darmstadt.de
Jeff B. PelzFrederick Wiedman Professor, Carlson Center for Imaging Science, Rochester Institute of TechnologyVerified email at cis.rit.edu
Dorothea KoertIndependent Research Group Leader, TU DarmstadtVerified email at robot-learning.de
Florian KadnerTechnische Universität DarmstadtVerified email at tu-darmstadt.de
Matthias SchultheisPhD student, TU DarmstadtVerified email at tu-darmstadt.de
Nils NeupärtlPsychology of Information Processing, Technical University DarmstadtVerified email at psychologie.tu-darmstadt.de

Constantin A. Rothkopf

Professor, Technical University Darmstadt & Adjunct Fellow, FIAS

Verified email at cogsci.tu-darmstadt.de - Homepage

computational cognitive science cognitive science computational psychology perception and action active vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Task and context determine where you look CA Rothkopf, DH Ballard, MM Hayhoe Journal of vision 7 (14), 16-16, 2007	506	2007
Large pre-trained language models contain human-like biases of what is right and wrong to do P Schramowski, C Turan, N Andersen, CA Rothkopf, K Kersting Nature Machine Intelligence 4 (3), 258-268, 2022	254	2022
Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task G Diaz, J Cooper, C Rothkopf, M Hayhoe Journal of vision 13 (1), 20-20, 2013	195	2013
Bayesian multitask inverse reinforcement learning C Dimitrakakis, C Rothkopf Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL-9), 2011	138	2011
Preference elicitation and inverse reinforcement learning C Rothkopf, C Dimitrakakis Proceedings of the 22nd European Conference on Machine Learning (ECML …, 2011	109	2011
Infants in control: rapid anticipation of action outcomes in a gaze-contingent paradigm Q Wang, J Bolhuis, CA Rothkopf, T Kolling, M Knopf, J Triesch PloS one 7 (2), e30884, 2012	106	2012
The role of uncertainty and reward on eye movements in a virtual driving task BT Sullivan, L Johnson, CA Rothkopf, D Ballard, M Hayhoe Journal of vision 12 (13), 19-19, 2012	102	2012
Semantics derived automatically from language corpora contain human-like moral choices S Jentzsch, P Schramowski, C Rothkopf, K Kersting Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 37-44, 2019	76	2019
Vision in the natural world MM Hayhoe, CA Rothkopf Wiley Interdisciplinary Reviews: Cognitive Science 2 (2), 158-166, 2011	72	2011
Humans quickly learn to blink strategically in response to environmental task demands D Hoppe, S Helfmann, CA Rothkopf Proceedings of the National Academy of Sciences 115 (9), 2246-2251, 2018	65	2018
Modular inverse reinforcement learning for visuomotor behavior CA Rothkopf, DH Ballard Biological cybernetics 107, 477-490, 2013	65	2013
Learning receptive fields using predictive feedback JFM Jehee, C Rothkopf, JM Beck, DH Ballard Journal of Physiology-Paris 100 (1-3), 125-132, 2006	61	2006
Head movement estimation for wearable eye tracker CA Rothkopf, JB Pelz Proceedings of the 2004 symposium on eye tracking research & applications …, 2004	60	2004
Multi-step planning of eye movements in visual search D Hoppe, CA Rothkopf Scientific Reports 9 (1), 144, 2019	58	2019
A unified model of the joint development of disparity selectivity and vergence control Y Zhao, CA Rothkopf, J Triesch, BE Shi 2012 ieee international conference on development and learning and …, 2012	56	2012
Learning rational temporal eye movement strategies D Hoppe, CA Rothkopf Proceedings of the National Academy of Sciences 113 (29), 8332-8337, 2016	51	2016
Credit assignment in multiple goal embodied visuomotor behavior CA Rothkopf, DH Ballard frontiers in Psychology 1, 173, 2010	47	2010
Wie Maschinen lernen K Kersting, C Lampert, C Rothkopf Wiesbaden: Springer, 2019	44	2019
Image statistics at the point of gaze during human navigation CA Rothkopf, DH Ballard Visual neuroscience 26 (1), 81-92, 2009	44	2009
Catching heuristics are optimal control policies B Belousov, G Neumann, CA Rothkopf, JR Peters Advances in neural information processing systems 29, 2016	43	2016

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