Eric Zhan

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 14

Top Topics

Unsupervised Learning

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

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 (2022)
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
Unsupervised Learning of Neurosymbolic Encoders. Trans. Mach. Learn. Res. 2022 (2022)
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 (2021)
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
Unsupervised Learning of Neurosymbolic Encoders. CoRR (2021)
Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
Task Programming: Learning Data Efficient Behavior Representations. CVPR (2021)
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR (2020)
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht
Learning Calibratable Policies using Programmatic Style-Consistency. ICML (2020)
Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona
Task Programming: Learning Data Efficient Behavior Representations. CoRR (2020)
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS (2020)
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. NeurIPS (2019)
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. CoRR (2019)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
Generating Multi-Agent Trajectories using Programmatic Weak Supervision. ICLR (Poster) (2019)
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht
Learning Calibratable Policies using Programmatic Style-Consistency. CoRR (2019)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
Generative Multi-Agent Behavioral Cloning. CoRR (2018)