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Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface


Jul 04, 2021
Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel J. Gershman, Joshua B. Tenenbaum


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Leveraging Language to Learn Program Abstractions and Search Heuristics


Jun 18, 2021
Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas

* appeared in Thirty-eighth International Conference on Machine Learning (ICML 2021) 

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Learning abstract structure for drawing by efficient motor program induction


Aug 08, 2020
Lucas Y. Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum


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Program Synthesis with Pragmatic Communication


Jul 09, 2020
Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama

* The second author and the third author contributed equally to this work 

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DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning


Jun 15, 2020
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sable-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum


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Write, Execute, Assess: Program Synthesis with a REPL


Jun 09, 2019
Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama

* The first four authors contributed equally to this work 

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Learning to Infer and Execute 3D Shape Programs


Jan 09, 2019
Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* ICLR 2019. Project page: http://shape2prog.csail.mit.edu 

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Learning to Infer Graphics Programs from Hand-Drawn Images


Oct 26, 2018
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. Tenenbaum


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