Generative Multi-Agent Behavioral Cloning. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (CoRR, 2018)

Generating Multi-Agent Trajectories using Programmatic Weak Supervision. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (ICLR (Poster), 2019)

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. - Yukai Liu; Rose Yu; Stephan Zheng; Eric Zhan; Yisong Yue (NeurIPS, 2019)

Learning Calibratable Policies using Programmatic Style-Consistency. - Eric Zhan; Albert Tseng; Yisong Yue; Adith Swaminathan; Matthew J. Hausknecht (ICML, 2020)

Learning Differentiable Programs with Admissible Neural Heuristics. - Ameesh Shah; Eric Zhan; Jennifer J. Sun; Abhinav Verma 001; Yisong Yue; Swarat Chaudhuri (NeurIPS, 2020)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; Yisong Yue; Pietro Perona (CoRR, 2020)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; David J. Anderson; Yisong Yue; Pietro Perona (CVPR, 2021)

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 Trans. Geosci. Remote. Sens., 2022)

Unsupervised Learning of Neurosymbolic Encoders. - Eric Zhan; Jennifer J. Sun; Ann Kennedy; Yisong Yue; Swarat Chaudhuri (Trans. Mach. Learn. Res., 2022)