| Naomi: Non-autoregressive multiresolution sequence imputation Y Liu, R Yu, S Zheng, E Zhan, Y Yue Advances in neural information processing systems 32, 2019 | 170 | 2019 |
| Generating multi-agent trajectories using programmatic weak supervision E Zhan, S Zheng, Y Yue, L Sha, P Lucey arXiv preprint arXiv:1803.07612, 2018 | 121* | 2018 |
| Task programming: Learning data efficient behavior representations JJ Sun, A Kennedy, E Zhan, DJ Anderson, Y Yue, P Perona Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 60 | 2021 |
| Learning differentiable programs with admissible neural heuristics A Shah, E Zhan, J Sun, A Verma, Y Yue, S Chaudhuri Advances in neural information processing systems 33, 4940-4952, 2020 | 53 | 2020 |
| Deep learning-based damage mapping with InSAR coherence time series OL Stephenson, T Köhne, E Zhan, BE Cahill, SH Yun, ZE Ross, M Simons IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 35 | 2021 |
| Learning calibratable policies using programmatic style-consistency E Zhan, A Tseng, Y Yue, A Swaminathan, M Hausknecht International Conference on Machine Learning, 11001-11011, 2020 | 18 | 2020 |
| Unsupervised learning of neurosymbolic encoders E Zhan, JJ Sun, A Kennedy, Y Yue, S Chaudhuri arXiv preprint arXiv:2107.13132, 2021 | 13 | 2021 |
| New Algorithms for Programmatic Deep Learning with Applications to Behavior Modeling E Zhan California Institute of Technology, 2022 | | 2022 |
| Synthetic Aperture Radar for Disaster Response E Hill, M Simons, F Webb, S Owen, D Bekaert, J Lai, E Fielding, Z Ross, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2020 | | 2020 |
| Task Programming: Learning Data Efficient Behavior Representations Supplementary Material JJ Sun, A Kennedy, E Zhan, DJ Anderson, Y Yue, P Perona | | |
| The Argoverse Trajectory Retrieval Benchmark E Zhan, J Singh, Y Yue, A Hartnett | | |
