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2020 – today
- 2022
[j2]Oliver L. Stephenson
, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons:
Deep Learning-Based Damage Mapping With InSAR Coherence Time Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)- [j1]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [c5]Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CVPR 2021: 2876-2885 - [i7]Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons:
Deep Learning-based Damage Mapping with InSAR Coherence Time Series. CoRR abs/2105.11544 (2021) - [i6]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. CoRR abs/2107.13132 (2021) - 2020
- [c4]Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. ICML 2020: 11001-11011 - [c3]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS 2020 - [i5]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR abs/2007.12101 (2020) - [i4]Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CoRR abs/2011.13917 (2020)
2010 – 2019
- 2019
- [c2]Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey:
Generating Multi-Agent Trajectories using Programmatic Weak Supervision. ICLR (Poster) 2019 - [c1]Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue:
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. NeurIPS 2019: 11236-11246 - [i3]Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue:
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. CoRR abs/1901.10946 (2019) - [i2]Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. CoRR abs/1910.01179 (2019) - 2018
- [i1]Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey:
Generative Multi-Agent Behavioral Cloning. CoRR abs/1803.07612 (2018)
Coauthor Index
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