Damian Mrowca

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Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityVerified email at stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Nick HaberAssistant Professor, Stanford UniversityVerified email at stanford.edu
Elias WangStanford UniversityVerified email at stanford.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Daniel BearStanford UniversityVerified email at stanford.edu
Michael LingelbachPhD Candidate at Stanford UniversityVerified email at stanford.edu
Chengxu ZhuangPostdoc Fellow, MITVerified email at mit.edu
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Kate SaenkoBoston UniversityVerified email at bu.edu
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Ronghang HuResearch Scientist, AI at MetaVerified email at meta.com
Martin DaumerSLCMSR e.V. - The Human Motion Institute, Trium Analysis Online GmbHVerified email at slcmsr.org

Damian Mrowca

OpenAI

Verified email at stanford.edu

Computer Vision Machine Learning Artificial Intelligence Deep Learning Cognition


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
ThreeDWorld: A platform for interactive multi-modal physical simulation C Gan, J Schwartz, S Alter, M Schrimpf, J Traer, J De Freitas, J Kubilius, ... Advances in Neural Information Processing Systems, 2020	282	2020
Flexible neural representation for physics prediction D Mrowca, C Zhuang, E Wang, N Haber, L Fei-Fei, JB Tenenbaum, ... Advances in Neural Information Processing Systems, 2018	281	2018
Learning to play with intrinsically-motivated self-aware agents N Haber, D Mrowca, L Fei-Fei, DLK Yamins Advances in Neural Information Processing Systems, 2018	140	2018
Learning physical graph representations from visual scenes DM Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, L Fei-Fei, ... Advances in Neural Information Processing Systems, 2020	90	2020
Physion: Evaluating physical prediction from vision in humans and machines DM Bear, E Wang, D Mrowca, FJ Binder, HYF Tung, RT Pramod, ... Advances in Neural Information Processing Systems, 2021	65	2021
Building scan window detection D Mrowca, A Zakhor US Patent 10,204,185, 2019	45	2019
Spatial semantic regularisation for large scale object detection D Mrowca, M Rohrbach, J Hoffman, R Hu, K Saenko, T Darrell Proceedings of the IEEE international conference on computer vision, 2003-2011, 2015	30	2015
Emergence of structured behaviors from curiosity-based intrinsic motivation N Haber, D Mrowca, L Fei-Fei, DLK Yamins CogSci, 2018	25	2018
Stance detection for fake news identification D Mrowca, E Wang, A Kosson	22	2017
others (2021). Physion: Evaluating physical prediction from vision in humans and machines DM Bear, E Wang, D Mrowca, FJ Binder, HYF Tung, R Pramod, ... arXiv preprint arXiv 2106, 2021	9	2021
Towards Curiosity-Driven Learning of Physical Dynamics MJ Lingelbach, D Mrowca, N Haber, L Fei-Fei, DLK Yamins International Conference on Learning Representations (ICLR) - BAICS Workshop, 2020	7	2020
Meta Products towards a “gait/running style app” M Daumer, AN Schneider, D Mrowca, R Ding, H Gao PeerJ PrePrints, 2014	3	2014
Modeling the scientist in the crib N Haber, D Mrowca, L Fei-Fei, D Yamins Journal of Vision 18 (10), 10-10, 2018	2	2018
Curiosity-Driven Learning for Physically Grounded Autonomous Agents D Mrowca Stanford University, 2021		2021
Stochastic Neural Physics Predictor P Tatarczyk, D Mrowca, L Fei-Fei, DLK Yamins, N Thuerey OpenReview, 2019		2019
Point cloud cleaning method D Mrowca US Patent 10,304,256, 2019		2019
On the measurement of running style M Daumer, M Trost, P Subkowski, A Schneider, D Mrowca, R Ding, H Gao, ... PeerJ PrePrints, 2014		2014

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