Brian D Ziebart

Citirano

	Sve	Od 2018.
Citati	7332	4960
H-indeks	29	24
i10-indeks	49	41

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J. Andrew BagnellCarnegie Mellon UniversityPotvrđena adresa e-pošte na ri.cmu.edu
Anind K. DeyUniversity of WashingtonPotvrđena adresa e-pošte na uw.edu
Anqi (Angie) LiuJohns Hopkins UniversityPotvrđena adresa e-pošte na cs.jhu.edu
Andrew L. MaasStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
martial hebertCMUPotvrđena adresa e-pošte na ri.cmu.edu
Mathew MonfortAmazon AWSPotvrđena adresa e-pošte na amazon.com
Kris KitaniCarnegie Mellon University, Robotics InstitutePotvrđena adresa e-pošte na cs.cmu.edu
Rizal FathonyCarnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Sima BehpourCarnegie Mellon UniversityPotvrđena adresa e-pošte na samsung.com
Kaiser AsifGooglePotvrđena adresa e-pošte na google.com
Roy H CampbellProfessor of Computer Science, University of IllinoisPotvrđena adresa e-pošte na illinois.edu
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Nathan RatliffNVIDIAPotvrđena adresa e-pošte na nvidia.com
Ashkan RezaeiUniversity of Illinois at ChicagoPotvrđena adresa e-pošte na uic.edu
Barbara Di EugenioProfessor, University of Illinois ChicagoPotvrđena adresa e-pošte na uic.edu
Xiangli ChenPotvrđena adresa e-pošte na uic.edu
Itika GuptaAmazonPotvrđena adresa e-pošte na amazon.com
Omid MemarrastUniversity of Illinois ChicagoPotvrđena adresa e-pošte na uic.edu
Wei XingComputer Science Department, UICPotvrđena adresa e-pošte na uic.edu
Christoph MertzCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu

Prati

Brian D Ziebart

Associate Professor of Computer Science, University of Illinois at Chicago

Potvrđena adresa e-pošte na uic.edu - Početna stranica

Machine learning artificial intelligence robotics inverse reinforcement learning structured prediction


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Maximum Entropy Inverse Reinforcement Learning BD Ziebart, AL Maas, JA Bagnell, AK Dey AAAI Conference on Artificial Intelligence, 1433-1438, 2008	2736	2008
Activity forecasting KM Kitani, BD Ziebart, JA Bagnell, M Hebert European Conference on Computer Vision (ECCV), 201-214, 2012	827	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	590	2009
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy BD Ziebart Carnegie Mellon University, 2010	469	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	370	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	264	2010
System, method and device for predicting navigational decision-making behavior AK Dey, JA Bagnell, BD Ziebart US Patent 8,478,642, 2013	260	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	107	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 🏆 International Conference on Machine Learning., 2011	79	2011
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	69	2013
Robust covariate shift regression X Chen, M Monfort, A Liu, BD Ziebart Artificial Intelligence and Statistics, 1270-1279, 2016	62	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	54	2014
Adversarial Cost-Sensitive Classification K Asif, W Xing, S Behpour, BD Ziebart Uncertainty in Artificial Intelligence, 2015	53	2015

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