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On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence


Apr 13, 2023
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

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LMPriors: Pre-Trained Language Models as Task-Specific Priors


Oct 22, 2022
Kristy Choi, Chris Cundy, Sanjari Srivastava, Stefano Ermon

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* First two authors contributed equally 

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Beyond Bayes-optimality: meta-learning what you know you don't know


Oct 12, 2022
Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro Ortega

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* 33 pages, 8 figures, technical report 

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BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery


Dec 06, 2021
Chris Cundy, Aditya Grover, Stefano Ermon

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* Neural Information Processing Systems 2021 

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IQ-Learn: Inverse soft-Q Learning for Imitation


Jun 23, 2021
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon

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Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients


Jan 02, 2021
Chris Cundy, Stefano Ermon

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* 8 pages; figure/table formatting fixed 

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Exploring Hierarchy-Aware Inverse Reinforcement Learning


Jul 13, 2018
Chris Cundy, Daniel Filan

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* 1st Workshop on Goal Specifications for Reinforcement Learning, ICML 2018, Stockholm, Sweden, 2018 
* Presented at the first Workshop on Goal Specifications for Reinforcement Learning, ICML 2018, Stockholm, Sweden 

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Parallelizing Linear Recurrent Neural Nets Over Sequence Length


Feb 22, 2018
Eric Martin, Chris Cundy

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* 9 pages. Published as a conference paper at ICLR 2018 

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