Petros Maniatis
8 papers · 2010–2024 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Bronze
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(3)
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Venues
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Research topics
Deep Learning
(7)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Machine Learning
(4)
Natural Language Processing
(3)
Learning Types
(3)
Computer Science
(2)
Applications
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Core Methods
(1)
Keywords
graph neural network
(3)
program analysis
(2)
code representation
(2)
source code
(2)
program synthesis
(1)
model interpretability
(1)
feature selection
(1)
sparse regression
(1)
bert model
(1)
graph-based learning
(1)
bug localization
(1)
sparse polynomial regression
(1)
execution time prediction
(1)
program performance
(1)
performance modeling
(1)
message passing
(1)
polynomial regression
(1)
execution time
(1)
software engineering
(1)
code generation
(1)
Papers
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
NeurIPS 2024
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
ICLR 2022
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NeurIPS 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
ICML 2021
Global Relational Models of Source Code
ICLR 2020
Learning and Evaluating Contextual Embedding of Source Code
ICML 2020
Neural Program Repair by Jointly Learning to Localize and Repair
ICLR 2019
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
NeurIPS 2010