Publications

Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan*, Jennifer J. Sun*, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
In submission.
[Paper]

Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.
Best Student Paper Award.
[Paper]

Deep Learning-based Damage Mapping with InSAR Coherence Time Series
Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons
IEEE Transactions on Geoscience and Remote Sensing, May 2021.
[Paper]

Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah*, Eric Zhan*, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
Neural Information Processing Systems (NeurIPS), December 2020.
[Paper][Code]

Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
International Conference on Machine Learning (ICML), July 2020.
[Paper][Code]

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
Neural Information Processing Systems (NeurIPS), December 2019.
[Paper][Code][Video]

Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
International Conference on Learning Representations (ICLR), May 2019.
[Paper][Code][Video]

* denotes equal contribution