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Learning to Answer Semantic Queries over Code


Sep 17, 2022
Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish Shevade

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A Library for Representing Python Programs as Graphs for Machine Learning


Aug 15, 2022
David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent Hellendoorn, Daniel Johnson, Daniel Tarlow

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* 21 pages, 14 figures 

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SpreadsheetCoder: Formula Prediction from Semi-structured Context


Jun 26, 2021
Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

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* Published in ICML 2021 

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Neural Program Synthesis with a Differentiable Fixer


Jun 19, 2020
Matej Balog, Rishabh Singh, Petros Maniatis, Charles Sutton

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Pre-trained Contextual Embedding of Source Code


Dec 21, 2019
Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi

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Neural Program Repair by Jointly Learning to Localize and Repair


Apr 03, 2019
Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh

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* ICLR 2019 

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Mantis: Predicting System Performance through Program Analysis and Modeling


Sep 30, 2010
Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik

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