Miltiadis Allamanis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 69

Top Topics

Execution Traces

Top Venues

ESEC/SIGSOFT FSE

Publications

Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR (2024)
Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. 2024 (2024)
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness. CoRR (2024)
Miltiadis Allamanis, Earl T. Barr
Epicure: Distilling Sequence Model Predictions into Patterns. CoRR (2023)
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE (2023)
Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Anjan Karmakar, Miltiadis Allamanis, Romain Robbes
JEMMA: An extensible Java dataset for ML4Code applications. Empir. Softw. Eng. 28 (2) (2023)
Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari
Overwatch: learning patterns in code edit sequences. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Anjan Karmakar, Miltiadis Allamanis, Romain Robbes
JEMMA: An Extensible Java Dataset for ML4Code Applications. CoRR (2022)
Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Simultaneous Missing Value Imputation and Structure Learning with Groups. NeurIPS (2022)
Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari
Overwatch: Learning Patterns in Code Edit Sequences. CoRR (2022)
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis
CoRGi: Content-Rich Graph Neural Networks with Attention. KDD (2022)
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
Learning to Complete Code with Sketches. ICLR (2022)
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. 48 (4) (2022)
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations. CoRR (2022)
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Deep End-to-end Causal Inference. CoRR (2022)
Foivos Tsimpourlas, Gwenyth Rooijackers, Ajitha Rajan, Miltiadis Allamanis
Embedding and classifying test execution traces using neural networks. IET Softw. 16 (3) (2022)
Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis
HEAT: Hyperedge Attention Networks. CoRR (2022)
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren
NS3: Neuro-symbolic Semantic Code Search. NeurIPS (2022)
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Garcia, Xiang Ren
NS3: Neuro-Symbolic Semantic Code Search. CoRR (2022)
James Caddy, Markus Wagner, Christoph Treude, Earl T. Barr, Miltiadis Allamanis
Is Surprisal in Issue Trackers Actionable? CoRR (2022)
Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis
HEAT: Hyperedge Attention Networks. Trans. Mach. Learn. Res. 2022 (2022)
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltiadis Allamanis
Fast and Memory-Efficient Neural Code Completion. MSR (2021)
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
CoRGi: Content-Rich Graph Neural Networks with Attention. CoRR (2021)
Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang
VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups. CoRR (2021)
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
Learning to Generate Code Sketches. CoRR (2021)
Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis
Supervised learning over test executions as a test oracle. SAC (2021)
Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt
Self-Supervised Bug Detection and Repair. NeurIPS (2021)
Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt
Self-Supervised Bug Detection and Repair. CoRR (2021)
Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt
Copy That! Editing Sequences by Copying Spans. AAAI (2021)
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
Typilus: Neural Type Hints. CoRR (2020)
Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt
Copy that! Editing Sequences by Copying Spans. CoRR (2020)
Profir-Petru Pârtachi, Santanu Kumar Dash, Miltiadis Allamanis, Earl T. Barr
Flexeme: untangling commits using lexical flows. ESEC/SIGSOFT FSE (2020)
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
Typilus: neural type hints. PLDI (2020)
Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis
Learning to Encode and Classify Test Executions. CoRR (2020)
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis
Fast and Memory-Efficient Neural Code Completion. CoRR (2020)
Eui Chul Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Alex Polozov
Program Synthesis and Semantic Parsing with Learned Code Idioms. NeurIPS (2019)
Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov
Program Synthesis and Semantic Parsing with Learned Code Idioms. CoRR (2019)
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
DIRE: A Neural Approach to Decompiled Identifier Naming. CoRR (2019)
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
DIRE: A Neural Approach to Decompiled Identifier Naming. ASE (2019)
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. CoRR (2019)
Miltiadis Allamanis
The adverse effects of code duplication in machine learning models of code. Onward! (2019)
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Learning to Represent Edits. ICLR (Poster) (2019)
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Structured Neural Summarization. ICLR (Poster) (2019)
Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov
Generative Code Modeling with Graphs. ICLR (Poster) (2019)
Matthew Danish, Miltiadis Allamanis, Marc Brockschmidt, Andrew C. Rice, Dominic Orchard
Learning units-of-measure from scientific code. SE4Science@ICSE (2019)
Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov
Generative Code Modeling with Graphs. CoRR (2018)
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Constrained Graph Variational Autoencoders for Molecule Design. CoRR (2018)
Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar T. Devanbu, Mark Marron, Charles Sutton
Mining Semantic Loop Idioms. IEEE Trans. Software Eng. 44 (7) (2018)
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Structured Neural Summarization. CoRR (2018)
Vincent J. Hellendoorn, Christian Bird, Earl T. Barr, Miltiadis Allamanis
Deep learning type inference. ESEC/SIGSOFT FSE (2018)
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
Learning to Represent Programs with Graphs. ICLR (2018)
Santanu Kumar Dash, Miltiadis Allamanis, Earl T. Barr
RefiNym: using names to refine types. ESEC/SIGSOFT FSE (2018)
Miltiadis Allamanis
The Adverse Effects of Code Duplication in Machine Learning Models of Code. CoRR (2018)
Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray
Tree2Tree Neural Translation Model for Learning Source Code Changes. CoRR (2018)
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Constrained Graph Variational Autoencoders for Molecule Design. NeurIPS (2018)
Graham Neubig, Miltiadis Allamanis
Modelling Natural Language, Programs, and their Intersection. NAACL-HLT (Tutorial Abstracts) (2018)
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Learning to Represent Edits. CoRR (2018)
Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, Charles Sutton
A Survey of Machine Learning for Big Code and Naturalness. ACM Comput. Surv. 51 (4) (2018)
Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, Charles Sutton
A Survey of Machine Learning for Big Code and Naturalness. CoRR (2017)
Miltiadis Allamanis, Marc Brockschmidt
SmartPaste: Learning to Adapt Source Code. CoRR (2017)
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
Learning to Represent Programs with Graphs. CoRR (2017)
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton
Learning Continuous Semantic Representations of Symbolic Expressions. ICML (2017)
Jaroslav M. Fowkes, Pankajan Chanthirasegaran, Razvan Ranca, Miltiadis Allamanis, Mirella Lapata, Charles Sutton
Autofolding for Source Code Summarization. IEEE Trans. Software Eng. 43 (12) (2017)
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton
Learning Continuous Semantic Representations of Symbolic Expressions. CoRR (2016)
Miltiadis Allamanis, Hao Peng, Charles Sutton
A Convolutional Attention Network for Extreme Summarization of Source Code. ICML (2016)
Jaroslav M. Fowkes, Pankajan Chanthirasegaran, Razvan Ranca, Miltiadis Allamanis, Mirella Lapata, Charles Sutton
TASSAL: autofolding for source code summarization. ICSE (Companion Volume) (2016)
Miltiadis Allamanis, Earl T. Barr, René Just, Charles Sutton
Tailored Mutants Fit Bugs Better. CoRR (2016)
Miltiadis Allamanis, Hao Peng, Charles Sutton
A Convolutional Attention Network for Extreme Summarization of Source Code. CoRR (2016)
Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
Suggesting accurate method and class names. ESEC/SIGSOFT FSE (2015)
Fani A. Tzima, Miltiadis Allamanis, Alexandros Filotheou, Pericles A. Mitkas
Inducing Generalized Multi-Label Rules with Learning Classifier Systems. CoRR (2015)
Miltiadis Allamanis, Daniel Tarlow, Andrew D. Gordon, Yi Wei
Bimodal Modelling of Source Code and Natural Language. ICML (2015)
Miltiadis Allamanis, Charles Sutton
Mining idioms from source code. SIGSOFT FSE (2014)
Miltiadis Allamanis, Earl T. Barr, Charles Sutton
Learning Natural Coding Conventions. CoRR (2014)
Jaroslav M. Fowkes, Razvan Ranca, Miltiadis Allamanis, Mirella Lapata, Charles Sutton
Autofolding for Source Code Summarization. CoRR (2014)
Miltiadis Allamanis, Charles Sutton
Mining Idioms from Source Code. CoRR (2014)
Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
Learning natural coding conventions. SIGSOFT FSE (2014)
Miltiadis Allamanis, Charles Sutton
Why, when, and what: analyzing stack overflow questions by topic, type, and code. MSR (2013)
Miltiadis Allamanis, Fani A. Tzima, Pericles A. Mitkas
Effective Rule-Based Multi-label Classification with Learning Classifier Systems. ICANNGA (2013)
Miltiadis Allamanis, Charles Sutton
Mining source code repositories at massive scale using language modeling. MSR (2013)
Miltiadis Allamanis, Salvatore Scellato, Cecilia Mascolo
Evolution of a location-based online social network: analysis and models. Internet Measurement Conference (2012)