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VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups


Oct 15, 2021
Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang


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CoRGi: Content-Rich Graph Neural Networks with Attention


Oct 10, 2021
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis


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Learning to Generate Code Sketches


Jun 18, 2021
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis


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Self-Supervised Bug Detection and Repair


May 26, 2021
Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt


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Copy that! Editing Sequences by Copying Spans


Jun 08, 2020
Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt


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Fast and Memory-Efficient Neural Code Completion


Apr 29, 2020
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis


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Typilus: Neural Type Hints


Apr 06, 2020
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao

* Accepted to PLDI 2020 

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Learning to Encode and Classify Test Executions


Jan 08, 2020
Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis


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CodeSearchNet Challenge: Evaluating the State of Semantic Code Search


Sep 27, 2019
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt


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Program Synthesis and Semantic Parsing with Learned Code Idioms


Jul 23, 2019
Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov


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The Adverse Effects of Code Duplication in Machine Learning Models of Code


Jan 11, 2019
Miltiadis Allamanis


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Structured Neural Summarization


Nov 05, 2018
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt


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Learning to Represent Edits


Oct 31, 2018
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt


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Constrained Graph Variational Autoencoders for Molecule Design


May 23, 2018
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

* 8 pages, 5 figures 

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Generative Code Modeling with Graphs


May 22, 2018
Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov


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A Survey of Machine Learning for Big Code and Naturalness


May 05, 2018
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton

* Website accompanying this survey paper can be found at https://ml4code.github.io 

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Learning to Represent Programs with Graphs


May 04, 2018
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi

* Published in ICLR 2018. arXiv admin note: text overlap with arXiv:1705.07867 

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Learning Continuous Semantic Representations of Symbolic Expressions


Jun 10, 2017
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton

* Accepted to ICML 2017 

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SmartPaste: Learning to Adapt Source Code


May 22, 2017
Miltiadis Allamanis, Marc Brockschmidt


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A Convolutional Attention Network for Extreme Summarization of Source Code


May 25, 2016
Miltiadis Allamanis, Hao Peng, Charles Sutton

* Code, data and visualization at http://groups.inf.ed.ac.uk/cup/codeattention/ 

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Inducing Generalized Multi-Label Rules with Learning Classifier Systems


Dec 25, 2015
Fani A. Tzima, Miltiadis Allamanis, Alexandros Filotheou, Pericles A. Mitkas


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