2016 Publications

1. E. Elhamifar, G. Sapiro, and S. Sastry. Dissimilarity-based Sparse Subset Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016. [PDF]

2. Lillian J. Ratliff, Carlos Barreto, Roy Dong, Henrik Ohlsson, Alvaro A. Cardenas, and S. Shankar Sastry. Effects of Risk on Privacy Contracts for Demand-Side Management. Under Review 2016.

3. Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry. On the Characterization of Local Nash Equilibria in Continuous Games. IEEE Transactions on Automatic Control, 2016. [PDF]

4. Ioannis C. Konstantakopoulos, Lillian Ratliff, Ming Jin, Costas Spanos, S. Shankar Sastry. Smart Building Energy Efficiency via Social Game: A Robust Utility Learning Framework for Closing the Loop. 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) ACM/IEEE CPSWeek, 2016. [PDF]

5. Daniel Calderone, Eric Mazumdar, Lillian Ratliff, S. Shankar Sastry. Understanding the Impact of Parking on Urban Mobility via Routing Games on Queue Flow Networks. IEEE Conference on Decision and Control, 2016.

6. Ioannis C. Konstantakopoulos, Lillian Ratliff, Ming Jin, Costas Spanos, S. Shankar Sastry. Inverse Modeling of Non-Cooperative Agents via Mixture of Utilities. IEEE Conference on Decision and Control, 2016. [PDF]

7. Ioannis Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, and Costas Spanos. Robust Utility Learning with Applications to Social Games in Smart Buildings. IEEE Transactions on Control Systems Technology, 2016.

8. Lillian J. Ratliff, Ioannis Konstantakopoulos, S. Shankar Sastry, and Costas Spanos. Inverse Learning of Pseudo-Coalitions Between Non-cooperative Agents. 2016.

9. Ioannis Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, and Costas Spanos. Inverse Modeling of Non-Cooperative Agents via Mixture of Utilities. 2016. [PDF]

10. Lillian J. Ratliff, Walid Krichene, and S. Shankar Sastry. Utility Learning and Incentive Design via Adaptive Control. 2016.

11. Dorsa Sadigh, Shankar Sastry, Sanjit A. Seshia, and Anca D. Dragan. Planning for autonomous cars that leverages effects on human actions. In Proceedings of the Robotics: Science and Systems Conference (RSS). 2016.

12. Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, and Anca Dragan. Information gathering actions over human internal state. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, pp. 66-73. IEEE, 2016. [PDF]

13. Shromona Ghosh, Dorsa Sadigh, Pierluigi Nuzzo, Vasumathi Raman, Alexandre Donze, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, and Sanjit A. Seshia. Diagnosis and repair for synthesis from signal temporal logic specifications. In Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control (HSCC), pp. 31-40. ACM, 2016. [PDF]

14. Tara Rezvani, Katherine Driggs-Campbell, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, and Ruzena Bajcsy. Towards Trustworthy Automation: User Interfaces that Convey Internal and External Awareness. In IEEE Intelligent Transportation Systems Conference (ITSC), 2016. [PDF]

15. R. Dong, A. A. Cardenas, L. J. Ratliff, H. Ohlsson, S. S. Sastry, Quantifying the Utility-Privacy Tradeoff in the Internet of Things. Submitted to ACM Transactions on Cyber-Physical Systems. Under Review 2016

16. Ryan M. Robinson, Dexter R. R. Scobee, Samuel A. Burden, S. Shankar Sastry. Dynamic inverse models in human-cyber-physical systems. Proceedings of SPIE 9836, 2016. [PDF]

17. J. F. Fisac, C. Liu, J. B. Hamrick, S. S. Sastry, J. K. Hedrick, T. L. Griffiths, and A. D. Dragan. Generating Plans that Predict Themselves. Conference on Decision and Control (CDC), 2016. [PDF]

18. C. Liu, J. B. Hamrick, J. F. Fisac, A. D. Dragan, J. K. Hedrick, S. S. Sastry, and T. L. Griffiths. Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2016. [PDF]

19. S. A. Burden, S. S. Sastry, D. E. Koditschek, and S. Revzen. Event-selected vector field discontinuities yield piecewise-differentiable flows. SIAM Journal on Applied Dynamical Systems (SIADS) 15(2):1227--1267, 2016.[PDF]

20. I. Yang, S. A. Burden, R. Rajagopal, S. S. Sastry, and C. J. Tomlin. Approximation algorithms for optimization of combinatorial dynamical systems. IEEE Transactions on Automatic Control (TAC), 2016.[PDF]