Miltiadis Allamanis
Miltiadis Allamanis
Other namesMiltos Allamanis
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
A convolutional attention network for extreme summarization of source code
M Allamanis, H Peng, C Sutton
International Conference on Machine Learning, 2091-2100, 2016
Constrained graph variational autoencoders for molecule design
Q Liu, M Allamanis, M Brockschmidt, A Gaunt
Advances in neural information processing systems 31, 2018
Learning natural coding conventions
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
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
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
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
Bimodal modelling of source code and natural language
M Allamanis, D Tarlow, A Gordon, Y Wei
International Conference on Machine Learning, 2123-2132, 2015
Structured Neural Summarization
P Fernandes, M Allamanis, M Brockschmidt
ICLR, 2018
Deep learning type inference
VJ Hellendoorn, C Bird, ET Barr, M Allamanis
Proceedings of the 2018 26th ACM joint meeting on european software …, 2018
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
Generative code modeling with graphs
M Brockschmidt, M Allamanis, AL Gaunt, O Polozov
International Conference on Learning Representations (ICLR), 2018
Codit: Code editing with tree-based neural models
S Chakraborty, Y Ding, M Allamanis, B Ray
IEEE Transactions on Software Engineering 48 (4), 1385-1399, 2020
Typilus: Neural Type Hints
M Allamanis, ET Barr, S Ducousso, Z Gao
41st ACM SIGPLAN Conference on Programming Language Design and Implementation, 2020
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
Learning to represent edits
P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt
International Conference in Representation Learning (ICLR), 2019
The system can't perform the operation now. Try again later.
Articles 1–20