Miltiadis Allamanis
Miltiadis Allamanis
Microsoft Research
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A survey of machine learning for big code and naturalness
M Allamanis, ET Barr, P Devanbu, C Sutton
ACM Computing Surveys (CSUR) 51 (4), 2018
Learning to represent programs with graphs
M Allamanis, M Brockschmidt, M Khademi
International Conference on Learning Representations, 2018
A convolutional attention network for extreme summarization of source code
M Allamanis, H Peng, C Sutton
International Conference on Machine Learning, 2091-2100, 2016
Suggesting accurate method and class names
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
Learning natural coding conventions
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
Mining source code repositories at massive scale using language modeling
M Allamanis, C Sutton
2013 10th Working Conference on Mining Software Repositories (MSR), 207-216, 2013
Constrained graph variational autoencoders for molecule design
Q Liu, M Allamanis, M Brockschmidt, A Gaunt
Advances in neural information processing systems 31, 2018
CodeSearchNet challenge: Evaluating the state of semantic code search
H Husain, HH Wu, T Gazit, M Allamanis, M Brockschmidt
arXiv preprint arXiv:1909.09436, 2019
Bimodal modelling of source code and natural language
M Allamanis, D Tarlow, A Gordon, Y Wei
International Conference on Machine Learning, 2123-2132, 2015
Mining idioms from source code
M Allamanis, C Sutton
Proceedings of the 22nd ACM SIGSOFT international symposium on foundations …, 2014
Why, when, and what: analyzing stack overflow questions by topic, type, and code
M Allamanis, C Sutton
2013 10th Working conference on mining software repositories (MSR), 53-56, 2013
Deep learning type inference
VJ Hellendoorn, C Bird, ET Barr, M Allamanis
Proceedings of the 2018 26th ACM joint meeting on european software …, 2018
The adverse effects of code duplication in machine learning models of code
M Allamanis
Proceedings of the 2019 ACM SIGPLAN International Symposium on New Ideas …, 2019
Generative code modeling with graphs
M Brockschmidt, M Allamanis, AL Gaunt, O Polozov
International Conference on Learning Representations (ICLR), 2018
Evolution of a Location-based Online Social Network: Analysis and Models
M Allamanis, S Scellato, C Mascolo
Proceedings of ACM Internet Measurement Conference (IMC 2012), 2012
Learning continuous semantic representations of symbolic expressions
M Allamanis, P Chanthirasegaran, P Kohli, C Sutton
International Conference on Machine Learning, 80-88, 2017
Learning to represent edits
P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt
International Conference in Representation Learning (ICLR), 2019
Codit: Code editing with tree-based neural models
S Chakraborty, Y Ding, M Allamanis, B Ray
IEEE Transactions on Software Engineering, 2020
Autofolding for source code summarization
J Fowkes, P Chanthirasegaran, R Ranca, M Allamanis, M Lapata, ...
IEEE Transactions on Software Engineering 43 (12), 1095-1109, 2017
DIRE: A neural approach to decompiled identifier naming
J Lacomis, P Yin, E Schwartz, M Allamanis, C Le Goues, G Neubig, ...
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
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