| A robust approach to sequential information theoretic planning S Zheng, J Pacheco, J Fisher International Conference on Machine Learning, 5941-5949, 2018 | 16 | 2018 |
| Bayesian nonparametric modeling of driver behavior J Straub, S Zheng, JW Fisher 2014 IEEE Intelligent Vehicles Symposium Proceedings, 932-938, 2014 | 10 | 2014 |
| Sequential bayesian experimental design with variable cost structure S Zheng, D Hayden, J Pacheco, JW Fisher III Advances in Neural Information Processing Systems 33, 4127-4137, 2020 | 9 | 2020 |
| Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models C Dahlke, S Zheng, J Pacheco International Conference on Artificial Intelligence and Statistics, 10262-10278, 2023 | 1 | 2023 |
| Accounting for Computational Expenditures in Bayesian Experimental Design S Zheng Massachusetts Institute of Technology, 2021 | 1 | 2021 |
| On the role of representations for reasoning in large-scale urban scenes R Cabezas, M Blaha, S Zheng, G Rosman, K Schindler, JW Fisher Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1 | 2017 |
| Tracking algorithms under boundary layer effects for free-space optical communications S Zheng Massachusetts Institute of Technology, 2007 | 1 | 2007 |
| Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking DS Hayden, S Zheng, JW Fisher III arXiv preprint arXiv:2011.07101, 2020 | | 2020 |
| Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm V Smolyakov, J Straub, S Zheng, JW Fisher III arXiv preprint arXiv:1801.09150, 2018 | | 2018 |
| On the Role of Representations for Reasoning in Large-Scale Urban Scenes Supplemental Material R Cabezas, M Bláha, S Zheng, G Rosman, K Schindler, JWF III | | |
| Supplementary Material: A Robust Approach to Sequential Information Theoretic Planning S Zheng, J Pacheco, JW Fisher III | | |
