Brian D. Ziebart, Ph.D.

Affiliations: 
2010 Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science, Robotics Engineering, Artificial Intelligence
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"Brian Ziebart"

Parents

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J Andrew Bagnell grad student 2010 Carnegie Mellon
 (Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy.)
Anind K. Dey grad student 2004-2010 University of Illinois, Chicago
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Publications

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Shin C, Ziebart B, Dey AK. (2015) Serendipity-empowered path planning for predictive task completion Journal of Ambient Intelligence and Smart Environments. 7: 605-616
Wang J, Bansal M, Gimpel K, et al. (2015) A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment Transactions of the Association For Computational Linguistics. 3: 59-71
Chen X, Ziebart BD. (2015) Predictive inverse optimal control for linear-quadratic-Gaussian systems Journal of Machine Learning Research. 38: 165-173
Monfort M, Lake BM, Ziebart BD, et al. (2015) Softstar: Heuristic-guided probabilistic inference Advances in Neural Information Processing Systems. 2015: 2764-2772
Monfort M, Liu A, Ziebart BD. (2015) Intent prediction and trajectory forecasting via Predictive inverse linear-quadratic regulation Proceedings of the National Conference On Artificial Intelligence. 5: 3672-3678
Koehler C, Ziebart BD, Mankoff J, et al. (2013) TherML: Occupancy prediction for thermostat control Ubicomp 2013 - Proceedings of the 2013 Acm International Joint Conference On Pervasive and Ubiquitous Computing. 103-112
Ziebart BD, Bagnell JA, Dey AK. (2013) The principle of maximum causal entropy for estimating interacting processes Ieee Transactions On Information Theory. 59: 1966-1980
Ziebart BD, Dey AK, Bagnell JA. (2012) Probabilistic pointing target prediction via inverse optimal control International Conference On Intelligent User Interfaces, Proceedings Iui. 1-10
Kitani KM, Ziebart BD, Bagnell JA, et al. (2012) Activity forecasting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7575: 201-214
Davidoff S, Ziebart BD, Zimmerman J, et al. (2011) Learning patterns of pick-ups and drop-offs to support busy family coordination Conference On Human Factors in Computing Systems - Proceedings. 1175-1184
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