Brian D Ziebart
Title
Cited by
Cited by
Year
Maximum Entropy Inverse Reinforcement Learning
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Conference on Artificial Intelligence, 1433-1438, 2008
20412008
Activity forecasting
KM Kitani, BD Ziebart, JA Bagnell, M Hebert
European Conference on Computer Vision (ECCV), 201-214, 2012
7112012
Planning-based prediction for pedestrians
BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ...
International Conference on Intelligent Robots and Systems (IROS), 3931-3936, 2009
5052009
Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
BD Ziebart, AL Maas, AK Dey, JA Bagnell
International Conference on Ubiquitous Computing (Ubicomp), 322-331, 2008
3462008
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
BD Ziebart
Carnegie Mellon University, 2010
3362010
System, method and device for predicting navigational decision-making behavior
AK Dey, JA Bagnell, BD Ziebart
US Patent 8,478,642, 2013
2252013
Modeling interaction via the principle of maximum causal entropy
BD Ziebart, JA Bagnell, AK Dey
International Conference on Machine Learning (ICML), 1247-1254, 2010
1892010
Robust classification under sample selection bias
A Liu, B Ziebart
Advances in Neural Information Processing Systems (NIPS), 37-45, 2014
1012014
Probabilistic pointing target prediction via inverse optimal control
B Ziebart, A Dey, JA Bagnell
International Conference on Intelligent User Interfaces (IUI), 1-10, 2012
972012
TherML: occupancy prediction for thermostat control
C Koehler, BD Ziebart, J Mankoff, AK Dey
Pervasive and Ubiquitous Computing (Ubicomp), 103-112, 2013
802013
Towards a pervasive computing benchmark
A Ranganathan, J Al-Muhtadi, J Biehl, B Ziebart, RH Campbell, B Bailey
Pervasive Computing and Communications Workshops, 194-198, 2005
762005
Computational rationalization: The inverse equilibrium problem
K Waugh, BD Ziebart, JA Bagnell
arXiv preprint arXiv:1308.3506, 2013
642013
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Spring Symposium: Human Behavior Modeling, 92-, 2009
592009
The principle of maximum causal entropy for estimating interacting processes
BD Ziebart, JA Bagnell, AK Dey
IEEE Transactions on Information Theory 59 (4), 1966-1980, 2013
572013
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
M Monfort, A Liu, BD Ziebart
AAAI Conference on Artificial Intelligence, 2015
502015
Inverse optimal heuristic control for imitation learning
N Ratliff, B Ziebart, K Peterson, JA Bagnell, M Hebert, AK Dey, S Srinivasa
Artificial Intelligence and Statistics (AISTATS), 2009
502009
A sense-topic model for word sense induction with unsupervised data enrichment
J Wang, M Bansal, K Gimpel, BD Ziebart, CT Yu
Transactions of the Association for Computational Linguistics 3, 59-71, 2015
482015
Both nearest neighbours and long-term affiliates predict individual locations during collective movement in wild baboons
DR Farine, A Strandburg-Peshkin, T Berger-Wolf, B Ziebart, I Brugere, J Li, ...
Scientific reports 6 (1), 1-10, 2016
462016
Adversarial Cost-Sensitive Classification
K Asif, W Xing, S Behpour, BD Ziebart
Uncertainty in Artificial Intelligence, 2015
462015
Dynamic application composition: Customizing the behavior of an active space
M Román, B Ziebart, RH Campbell
IEEE International Conference on Pervasive Computing and Communications …, 2003
452003
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