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Brian Ziebart
Assistant Professor
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I am primarily interested in machine learning and its applications to problems in robotics, assistive technologies, and human-computer interaction. I develop and apply new techniques for predicting structured data.
Papers77 papers
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national conference on artificial intelligence, (2020)
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Journal of Intelligent Manufacturing, pp.1-15, (2020)
WACV, pp.1243-1252, (2019)
Sanket Gaurav,Brian Ziebart
AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYST..., pp.1368-1376, (2019)
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Humanoids, pp.477-483, (2019)
Zainab Al-Qurashi,Brian Ziebart
2019 Third IEEE International Conference on Robotic Computing (IRC), pp.377-380, (2019)
international conference on machine learning, (2019)
EIBibtex
Sanket Gaurav,Brian D. Ziebart
adaptive agents and multi-agents systems, pp.1368-1376, (2019)
Cited by2EIBibtex
arXiv: Learning, (2019)
EIBibtex
PAKDD, pp.677-688, (2018)
EIBibtex
ICML, pp.1456-1465, (2018)
Cited by9EIBibtex
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1986-1988, (2018)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)
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NeurIPS, pp.8953-8963, (2018)
Cited by11EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 8344-8355
Cited by9EIBibtex
Rizal Fathony, Kaiser Asif,Anqi Liu, Mohammad Ali Bashiri,Wei Xing, Sima Behpour,Xinhua Zhang,Brian D. Ziebart
arXiv: Machine Learning, (2018)
Cited by4EIBibtex
arXiv: Computer Vision and Pattern Recognition, (2017)
Cited by1Bibtex
arXiv: Machine Learning, (2017)
Cited by1EIBibtex
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