Brian D Ziebart
机构: Associate Professor of Computer Science, University of Illinois at Chicago
主页: uic.edu
每年引用次数
引用次数
引用: 8,819
H-指数: 32
I10-指数 : 54
出版物: 105
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.
Brian D. Ziebart , Anqi Liu , Sima Behpour
international conference on machine learning 563 -572
4
2019
Distributionally Robust Graphical Models
Brian D. Ziebart , Xinhua Zhang , Ashkan Rezaei , Rizal Fathony
neural information processing systems 31 8344 -8355
9
2018
Inverse Optimal Heuristic Control for Imitation Learning
Brian D. Ziebart , J. Andrew Bagnell , Martial Hebert , Anind K. Dey
international conference on artificial intelligence and statistics 424 -431
2
2009
Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis.
Brian D. Ziebart , Ben S. Gerber , Lisa K. Sharp , Barbara Di Eugenio
annual meeting of the special interest group on discourse and dialogue 246 -256
2020
Adversarial Learning for 3D Matching.
Brian D. Ziebart , Wei Xing
uncertainty in artificial intelligence 869 -878
2020
Robust Fairness under Covariate Shift.
Brian D. Ziebart , Anqi Liu , Ashkan Rezaei , Omid Memarrast
arXiv: Learning
42
2020
TherML: occupancy prediction for thermostat control
Christian Koehler , Brian D. Ziebart , Jennifer Mankoff , Anind K. Dey
ubiquitous computing 103 -112
88
2013
Planning-based prediction for pedestrians
Christoph Mertz , Kevin Peterson , J. Andrew Bagnell , Martial Hebert
intelligent robots and systems 3931 -3936
584
2009
Navigate like a cabbie
Brian D. Ziebart , Andrew L. Maas , Anind K. Dey , J. Andrew Bagnell
Proceedings of the 10th international conference on Ubiquitous computing - UbiComp '08 322 -331
251
2008
Goal-predictive robotic teleoperation from noisy sensors
Christopher Schultz , Sanket Gaurav , Mathew Monfort , Lingfei Zhang
international conference on robotics and automation 5377 -5383
6
2017
Activity forecasting
Kris M. Kitani , Brian D. Ziebart , James Andrew Bagnell , Martial Hebert
european conference on computer vision 201 -214
821
2012
The Principle of Maximum Causal Entropy for Estimating Interacting Processes
Brian D. Ziebart , J. Andrew Bagnell , Anind K. Dey
IEEE Transactions on Information Theory 59 ( 4) 1966 -1980
69
2013
ADA: Adversarial Data Augmentation for Object Detection
Sima Behpour , Kris M. Kitani , Brian D. Ziebart
workshop on applications of computer vision 1243 -1252
5
2019
Context Retrieval for Web Tables
Hong Wang , Anqi Liu , Jing Wang , Brian D Ziebart
international conference on the theory of information retrieval 251 -260
3
2015
Deep Correspondence Learning for Effective Robotic Teleoperation using Virtual Reality
Sanket Gaurav , Zainab Al-Qurashi , Amey Barapatre , George Maratos
ieee-ras international conference on humanoid robots 477 -483
3
2019
Factorized decision forecasting via combining value-based and reward-based estimation
Brian D. Ziebart
allerton conference on communication, control, and computing 966 -973
1
2011
Robust structure estimation of maximum causal entropy processes
Brian D. Ziebart
allerton conference on communication, control, and computing 996 -1001
1
2013
Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses
Zainab Al-Qurashi , Brian D. Ziebart
2020 Fourth IEEE International Conference on Robotic Computing (IRC) 63 -70
2020
Learning patterns of pick-ups and drop-offs to support busy family coordination
Scott Davidoff , Brian D. Ziebart , John Zimmerman , Anind K. Dey
Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11 1175 -1184
34
2011
Robust Classification Under Sample Selection Bias
Brian Ziebart , Anqi Liu
neural information processing systems 27 37 -45
124
2014