Miltiadis Allamanis
Miltiadis Allamanis
Microsoft Research
Verified email at allamanis.com - Homepage
Title
Cited by
Cited by
Year
Learning natural coding conventions
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
2312014
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
2192015
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
2152018
A convolutional attention network for extreme summarization of source code
M Allamanis, H Peng, C Sutton
International conference on machine learning, 2091-2100, 2016
2132016
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
2102013
Learning to represent programs with graphs
M Allamanis, M Brockschmidt, M Khademi
International Conference on Learning Representations, 2018
1842018
Bimodal modelling of source code and natural language
M Allamanis, D Tarlow, A Gordon, Y Wei
International conference on machine learning, 2123-2132, 2015
1182015
Mining idioms from source code
M Allamanis, C Sutton
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
1142014
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
1042013
Constrained graph variational autoencoders for molecule design
Q Liu, M Allamanis, M Brockschmidt, A Gaunt
Advances in neural information processing systems, 7795-7804, 2018
962018
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
962012
Learning continuous semantic representations of symbolic expressions
M Allamanis, P Chanthirasegaran, P Kohli, C Sutton
International Conference on Machine Learning, 80-88, 2017
472017
Deep learning type inference
VJ Hellendoorn, C Bird, ET Barr, M Allamanis
Proceedings of the 2018 26th ACM joint meeting on european software …, 2018
412018
Generative code modeling with graphs
M Brockschmidt, M Allamanis, AL Gaunt, O Polozov
arXiv preprint arXiv:1805.08490, 2018
372018
Structured Neural Summarization
P Fernandes, M Allamanis, M Brockschmidt
ICLR, 2018
282018
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
272019
Learning to represent edits
P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt
International Conference in Representation Learning (ICLR), 2019
252019
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
232017
Techniques to identify idiomatic code in a code base
CA Bird, M Marron, M Allamanis, ET Barr
US Patent App. 10/042,740, 2018
14*2018
TASSAL: Autofolding for source code summarization
J Fowkes, P Chanthirasegaran, R Ranca, M Allamanis, M Lapata, ...
2016 IEEE/ACM 38th International Conference on Software Engineering …, 2016
122016
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