Brian Ziebart

Assistant Professor

University of Illinois

伊利诺伊大学

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I am primarily interested in machine learning and its applications to problems in robotics, assistive technologies, and human-computer interaction. I develop and apply new techniques for predicting structured data.

Papers77 papers

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Fairness for Robust Log Loss Classification

Ashkan Rezaei, Rizal Fathony, Omid Memarrast,Brian Ziebart

national conference on artificial intelligence, (2020)

Bibtex

Adversarial Learning for 3D Matching

Wei Xing,Brian D. Ziebart

UAI, pp.869-878, (2020)

EIBibtex

Robust Fairness under Covariate Shift

Ashkan Rezaei,Anqi Liu, Omid Memarrast,Brian Ziebart

Bibtex

Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs

Kaiser Asif,Lu Zhang,Sybil Derrible,J. Ernesto Indacochea,Didem Ozevin,Brian Ziebart

Journal of Intelligent Manufacturing, pp.1-15, (2020)

Bibtex

ADA - Adversarial Data Augmentation for Object Detection

Sima Behpour,Kris M. Kitani,Brian D. Ziebart

WACV, pp.1243-1252, (2019)

Cited by2EIBibtex

Discriminatively Learning Inverse Optimal Control Models for Predicting Human Intentions Robotics Track

Sanket Gaurav,Brian Ziebart

AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYST..., pp.1368-1376, (2019)

Bibtex

Deep Correspondence Learning for Effective Robotic Teleoperation using Virtual Reality

Sanket Gaurav, Zainab Al-Qurashi, Amey Barapatre, George Maratos, Tejas Sarma,Brian D. Ziebart

Humanoids, pp.477-483, (2019)

EIBibtex

Hybrid Algorithm for Inverse Kinematics Using Deep Learning and Coordinate Transformation

Zainab Al-Qurashi,Brian Ziebart

2019 Third IEEE International Conference on Robotic Computing (IRC), pp.377-380, (2019)

EIWOSBibtex

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings

Sima Behpour,Anqi Liu,Brian Ziebart

international conference on machine learning, (2019)

EIBibtex

Discriminatively Learning Inverse Optimal Control Models for Predicting Human Intentions

Sanket Gaurav,Brian D. Ziebart

adaptive agents and multi-agents systems, pp.1368-1376, (2019)

Cited by2EIBibtex

Fair Logistic Regression: An Adversarial Perspective

Ashkan Rezaei, Rizal Fathony, Omid Memarrast,Brian D. Ziebart

arXiv: Learning, (2019)

EIBibtex

A Game-Theoretic Adversarial Approach to Dynamic Network Prediction

Jia Li,Brian D. Ziebart,Tanya Y. Berger-Wolf

PAKDD, pp.677-688, (2018)

EIBibtex

Efficient and Consistent Adversarial Bipartite Matching

Rizal Fathony, Sima Behpour,Xinhua Zhang,Brian D. Ziebart

ICML, pp.1456-1465, (2018)

Cited by9EIBibtex

ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification

Sima Behpour,Wei Xing,Brian D. Ziebart

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1986-1988, (2018)

Cited by9EIBibtex

Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes

Andrea Tirinzoni, Xiangli Chen,Marek Petrik,Brian D. Ziebart

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)

Bibtex

Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes

Andrea Tirinzoni,Marek Petrik,Xiangli Chen,Brian D. Ziebart

NeurIPS, pp.8953-8963, (2018)

Cited by11EIBibtex

Distributionally Robust Graphical Models

Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri,Xinhua Zhang,Brian D. Ziebart

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 8344-8355

Cited by9EIBibtex

Consistent Robust Adversarial Prediction for General Multiclass Classification

Rizal Fathony, Kaiser Asif,Anqi Liu, Mohammad Ali Bashiri,Wei Xing, Sima Behpour,Xinhua Zhang,Brian D. Ziebart

arXiv: Machine Learning, (2018)

Cited by4EIBibtex

ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection

Sima Behpour,Kris M. Kitani,Brian D. Ziebart

arXiv: Computer Vision and Pattern Recognition, (2017)

Cited by1Bibtex

Adversarial Structured Prediction for Multivariate Measures

Hong Wang, Ashkan Rezaei,Brian D. Ziebart

arXiv: Machine Learning, (2017)

Cited by1EIBibtex

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Brian ZiebartBinding

Papers77 papers

Brian Ziebart