| Maximum Entropy Inverse Reinforcement Learning BD Ziebart, AL Maas, JA Bagnell, AK Dey AAAI Conference on Artificial Intelligence, 1433-1438, 2008 | 2670 | 2008 |
| Activity forecasting KM Kitani, BD Ziebart, JA Bagnell, M Hebert European Conference on Computer Vision (ECCV), 201-214, 2012 | 818 | 2012 |
| 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 | 582 | 2009 |
| Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy BD Ziebart Carnegie Mellon University, 2010 | 445 | 2010 |
| 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 | 368 | 2008 |
| Modeling interaction via the principle of maximum causal entropy BD Ziebart, JA Bagnell, AK Dey International Conference on Machine Learning (ICML), 1247-1254, 2010 | 260 | 2010 |
| System, method and device for predicting navigational decision-making behavior AK Dey, JA Bagnell, BD Ziebart US Patent 8,478,642, 2013 | 257 | 2013 |
| Robust classification under sample selection bias A Liu, B Ziebart Advances in Neural Information Processing Systems (NIPS), 37-45, 2014 | 124 | 2014 |
| Probabilistic pointing target prediction via inverse optimal control B Ziebart, A Dey, JA Bagnell International Conference on Intelligent User Interfaces (IUI), 1-10, 2012 | 106 | 2012 |
| TherML: occupancy prediction for thermostat control C Koehler, BD Ziebart, J Mankoff, AK Dey Pervasive and Ubiquitous Computing (Ubicomp), 103-112, 2013 | 88 | 2013 |
| Computational rationalization: The inverse equilibrium problem K Waugh, BD Ziebart, JA Bagnell arXiv preprint arXiv:1308.3506, 2013 | 77 | 2013 |
| 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 | 76 | 2005 |
| 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 | 74 | 2009 |
| 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 | 66 | 2013 |
| Robust covariate shift regression X Chen, M Monfort, A Liu, BD Ziebart Artificial Intelligence and Statistics, 1270-1279, 2016 | 60 | 2016 |
| Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation M Monfort, A Liu, BD Ziebart AAAI Conference on Artificial Intelligence, 2015 | 58 | 2015 |
| 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 | 55 | 2016 |
| 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 | 54 | 2015 |
| Leveraging Machine Learning to Improve Unwanted Resource Filtering S Bhagavatula, C Dunn, C Kanich, M Gupta, B Ziebart Workshop on Artificial Intelligent and Security, 95-102, 2014 | 52 | 2014 |
| Adversarial Cost-Sensitive Classification K Asif, W Xing, S Behpour, BD Ziebart Uncertainty in Artificial Intelligence, 2015 | 51 | 2015 |
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
