Miltiadis Allamanis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2012–2024
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Unsupervised Evaluation of Code LLMs with Round-Trip Correctness. | Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin |
| 2024 | ICML | Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates. | Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha |
| 2024 | ICML | NExT: Teaching Large Language Models to Reason about Code Execution. | Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin |
| 2022 | ICLR | Learning to Complete Code with Sketches. | Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis |
| 2022 | KDD | CoRGi: Content-Rich Graph Neural Networks with Attention. | Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis |
| 2021 | AAAI | Copy That! Editing Sequences by Copying Spans. | Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt |
| 2021 | MSR | Fast and Memory-Efficient Neural Code Completion. | Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltiadis Allamanis |
| 2021 | SAC | Supervised learning over test executions as a test oracle. | Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis |
| 2020 | PLDI | Typilus: neural type hints. | Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao |
| 2019 | ICLR | Generative Code Modeling with Graphs. | Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov |
| 2019 | ICLR | Structured Neural Summarization. | Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt |
| 2019 | ICLR | Learning to Represent Edits. | Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt |
| 2019 | ICSE | Learning units-of-measure from scientific code. | Matthew Danish, Miltiadis Allamanis, Marc Brockschmidt, Andrew C. Rice, Dominic Orchard |
| 2019 | OOPSLA | The adverse effects of code duplication in machine learning models of code. | Miltiadis Allamanis |
| 2018 | ICLR | Learning to Represent Programs with Graphs. | Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi |
| 2018 | NAACL | Modelling Natural Language, Programs, and their Intersection. | Graham Neubig, Miltiadis Allamanis |
| 2017 | ICML | Learning Continuous Semantic Representations of Symbolic Expressions. | Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton |
| 2016 | ICML | A Convolutional Attention Network for Extreme Summarization of Source Code. | Miltiadis Allamanis, Hao Peng, Charles Sutton |
| 2016 | ICSE | TASSAL: autofolding for source code summarization. | Jaroslav M. Fowkes, Pankajan Chanthirasegaran, Razvan Ranca, Miltiadis Allamanis, Mirella Lapata, Charles Sutton |
| 2015 | ICML | Bimodal Modelling of Source Code and Natural Language. | Miltiadis Allamanis, Daniel Tarlow, Andrew D. Gordon, Yi Wei |
| 2013 | MSR | Why, when, and what: analyzing stack overflow questions by topic, type, and code. | Miltiadis Allamanis, Charles Sutton |
| 2013 | MSR | Mining source code repositories at massive scale using language modeling. | Miltiadis Allamanis, Charles Sutton |
| 2012 | IMC | Evolution of a location-based online social network: analysis and models. | Miltiadis Allamanis, Salvatore Scellato, Cecilia Mascolo |