Brian D. Ziebart, Ph.D.
Affiliations: | 2010 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer Science, Robotics Engineering, Artificial IntelligenceGoogle:
"Brian Ziebart"Parents
Sign in to add mentorJ 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 |