Maniatis, Petros

9 publications

NeurIPS 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivančić, Junfeng Yang, Baishakhi Ray

ICLR 2022 CodeTrek: Flexible Modeling of Code Using an Extensible Relational Representation Pardis Pashakhanloo, Aaditya Naik, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik

ICLRW 2022 Learning to Walk over Relational Graphs of Source Code Pardis Pashakhanloo, Aaditya Naik, Hanjun Dai, Petros Maniatis, Mayur Naik

NeurIPS 2021 PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair Zimin Chen, Vincent J Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra

ICML 2021 SpreadsheetCoder: Formula Prediction from Semi-Structured Context Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

ICLR 2020 Global Relational Models of Source Code Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, David Bieber

ICML 2020 Learning and Evaluating Contextual Embedding of Source Code Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi

ICLR 2019 Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh

NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression Ling Huang, Jinzhu Jia, Bin Yu, Byung-gon Chun, Petros Maniatis, Mayur Naik