C. Ott, I. Ibs, C. A. Rothkopf, F. Jaekel. A taxonomic view on human sequential decision-making: unveiling the relationship between tasks, [submitted]
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I. Ibs, C. Ott, F. Jaekel, C. A. Rothkopf. From human explanations to Explainable AI: insights from constrained optimization, [submitted]
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S. Trick, F. Jäkel, C. A. Rothkopf. Bayesian combination of correlated subjective probability estimates, [submitted]
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D. Straub, C. A. Rothkopf. If it looks like online control, it is probably model-based control, Annual Meeting of the Cognitive Science Society, 2024.
[ (wird in neuem Tab geöffnet)], [ pdf] html
PsyArXiv, 2024 [] html
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A. Boehm, T. Schneider, B. Belousov, A. Kshirsagar, L. Lin, K. Doerschner, K. Drewing, C. A Rothkopf, J. Peters. Tactile active texture recognition with vision-based tactile sensors, 1st workshop on touch processing: a new sensing modality for AI, Neurips Workshop, 2023.
[ (wird in neuem Tab geöffnet)], [ pdf], [ html] data
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F. Eggenkemper, L. Kölker, M. Valente, C. A. Rothkopf, R. Mertens. Learning individualized automatic content magnification in gaze-based interaction, 25th IEEE International Symposium on Multimedia (ISM), 2023.
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M. Raab, L. Voigt, C. Rothkopf, K. Fiehler. Studying naturalistic actions requires research programs and not trade-off decisions in individual studies. Commentary to Maselli, A. et al.: Beyond simple laboratory studies: Developing sophisticated models to study rich behavior, Physics of Life Reviews, (47)33-34, 2023.
[], [ pdf] html
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F. Tatai, D. Straub, C. A. Rothkopf. People use Newtonian physics in intuitive sensorimotor decisions under risk, Annual Meeting of the Cognitive Science Society, 2023.
[ (wird in neuem Tab geöffnet)], [ pdf] html
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F. Kadner, H. Willkomm, I. Ibs, C. A. Rothkopf. Finding your way out: planning strategies in human maze-solving behavior, Annual Meeting of the Cognitive Science Society, 2023.
[ (wird in neuem Tab geöffnet)], [ pdf] html
PsyArXiv, 2022 [] html
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K. Hämmerl, B. Deiseroth, P. Schramowski, J. Libovicky, C. Rothkopf, A. Fraser, K. Kersting. Speaking multiple languages affects the moral bias of language models. Findings of the Association for Computational Linguistics (ACL), 2023.
[ (wird in neuem Tab geöffnet)], [ pdf] html
arXiv, 2022 https://arxiv.org/abs/2211.07733
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F. Kadner, T. Thomas, D. Hoppe, C. A Rothkopf. Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
[ (wird in neuem Tab geöffnet)], [ pdf] html
arXiv, 2022 [] html
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S. Trick, C. A. Rothkopf. Bayesian classifier fusion with an explicit model of correlation, International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 151:2282-2310, 2022
[ (wird in neuem Tab geöffnet)], [ pdf], [ html] code
arXiv, 2021 [] html
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D. Koert, J. Pajarinen, A. Schotschneider, S. Trick, C. Rothkopf, J. Peters. Learning intention aware online adaptation of movement primitives. IEEE Robotics and Automation Letters (RA-L), with presentation at the IEEE International Conference on Intelligent Robots and Systems (IROS), 2019
[ (wird in neuem Tab geöffnet)] pdf
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N. Araslanov, C. A. Rothkopf, S. Roth. Actor-critic instance segmentation. Conference on Computer Vision and Pattern Recognition (CVPR), 2019
(wird in neuem Tab geöffnet), [pdf] [html]
arXiv, 2019
https://arxiv.org/abs/1904.05126
![](/media/pip/publikationsbildchen/countingRL.png)
D. Hoppe, S. Helfmann, C. A. Rothkopf. Humans quickly learn to blink strategically in response to environmental task demands. Proceedings of the National Academy of Sciences (PNAS), 2018
[ (wird in neuem Tab geöffnet)], [ pdf] html
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V. S. R. Veeravasarapu, C. A. Rothkopf, V. Ramesh: 'Adversarially tuned scene generation', Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[ (wird in neuem Tab geöffnet)], [ pdf] html
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V. S. R. Veeravasarapu, C. A. Rothkopf, V. Ramesh: 'Model-driven simulations for computer vision', IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
[ (wird in neuem Tab geöffnet)] pdf
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B. Belousov, G. Neumann, C. A. Rothkopf, J. Peters: 'Catching heuristics are optimal control policies', Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), 2016
[ (wird in neuem Tab geöffnet)], [ pdf], [ html] code
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C. A. Rothkopf, D. H. Ballard: 'Modular inverse reinforcement learning for visuomotor behavior', Biological Cybernetics, 107(4), 477-490, 2013 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/IRL_walking.png)
D. H. Ballard, D. Kit, C. A. Rothkopf, B. Sullivan: 'A hierarchical modular architecture for embodied cognition', Multisensory Research, 26:(1-2), 177 – 204 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/cogniarchi.png)
D. Pamplona, J. Triesch, C. A. Rothkopf: 'Power spectra of the natural input to the visual system', Vision Research, 83:66-75, 2013 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/imaging.png)
Y. Zhao, C. A. Rothkopf, J. Triesch, B. Shi: 'A unified model of the joint development of disparity selectivity and vergence control', IEEE 8th International Conference on Development and Learning, November 7-9, 2012 (Paper of Excellence award) (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/disparityRFs.jpg)
C. Dimitrakakis, C. A. Rothkopf: 'Bayesian multitask inverse reinforcement learning', European Workshop on Reinforcemnt Learning (EWRL), September 9–11, 2011 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/hIRL.jpg)
C. A. Rothkopf, C. Dimitrakakis: 'Preference elicitation and inverse reinforcement learning', 22nd European Conference on Machine Learning (ECML), September 5-9, 2011 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/generativeIRL.jpg)
H. Toutounji, C. A. Rothkopf, J. Triesch: 'Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems', IEEE 10th International Conference on Development and Learning (ICDL), August 24-27, 2011 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/hierarchicalTask.jpg)
C. Karaoguz, T. H. Weisswange, T. Rodemann, B. Wrede, C. A. Rothkopf: 'Reward-based learning of optimal cue integration in audio and visual depth estimation', 15th International Conference on Advanced Robotics (ICAR), June 20-23, 2011 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/audio_visual_depth.jpg)
J. Triesch, C. A. Rothkopf, T. H. Weisswange: 'Coordination in Sensory Integration', in Dynamic Coordination in the Brain: From Neurons to Mind, edited by C. von der Malsburg, W. A. Phillips, W. Singer, MIT Press 2010
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T. H. Weisswange, C. A. Rothkopf, T. Rodemann, J. Triesch: 'Can reinforcement learning explain the development of causal inference in multisensory integration?', IEEE 8th International Conference on Development and Learning, June 5-7, 2009 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/Qcues.jpg)
C. A. Rothkopf, T. H. Weisswange, J. Triesch: 'Learning independent causes in natural images explains the spacevariant oblique effect', IEEE 8th International Conference on Development and Learning, June 5-7, 2009 (wird in neuem Tab geöffnet) [pdf] [html]
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C. A. Rothkopf, D. H. Ballard: 'Image statistics at the point of gaze during human navigation', Visual Neuroscience, special issue on 'Natural Systems Analysis', 26, 81–92, 2009 (wird in neuem Tab geöffnet) [pdf] [html]
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C. A. Rothkopf: 'Modular models of task based visually guided behavior', Ph. D. thesis, University of Rochester. Department of Brain and Cognitive Sciences, Department of Computer Science, 2008
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C. A. Rothkopf, D. H. Ballard: 'Image statistics at the point of gaze during human navigation', Visual Neuroscience, special issue on 'Natural Systems Analysis', 26, 81–92, 2009 (wird in neuem Tab geöffnet) [pdf], [ [html]] code
![](/media/pip/publikationsbildchen/walter2.jpg)
J. B. Pelz, C. Rothkopf: 'Oculomotor behavior while navigating natural and man-made environments' in 'Eye movements: A window on mind and brain', Editors: R. van Gompel, M. Fischer, W. Murray, R. Hill. Elsevier Press, 2007
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J. F. M. Jehee, C. A. Rothkopf, J. M. Beck, D. H. Ballard: 'Learning receptive fields using predictive feedback', Journal of Physiology Paris, 100, 125-132, 2006 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/V1_receptive_fields.jpg)
R. D. Meyer, E. P. Horch, Z. Ninkov, W.F. van Altena, C.A. Rothkopf: 'RYTSI: the Rit-Yale-Tip-Tilt-Speckle-Imager', Publications of the Astronomical Society of the Pacific, 118 , 162-171, 2006 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/speckle.jpg)
C. A. Rothkopf, J. B. Pelz: 'Head movement estimation for wearable eye tracker', Proceedings of the Eye Tracking Research & Application Symposium, ETRA 2004, San Antonio, Texas, USA, ACM, 2004 (wird in neuem Tab geöffnet) [pdf] [html]
![](/media/pip/publikationsbildchen/omnidirectional1.jpg)
Additional resources
C. A. Rothkopf. Three levels of description by David Marr slides
[ (wird in neuem Tab geöffnet)
] pdf
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