Veselin Raychev

According to our database1, Veselin Raychev authored at least 30 papers between 2009 and 2024.

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Bibliography

2024
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging.
CoRR, 2024

Customizing Static Analysis using Codesearch.
CoRR, 2024

DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models.
CoRR, 2024

Mitigating Catastrophic Forgetting in Language Transfer via Model Merging.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2021
Learning to find naming issues with big code and small supervision.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Predicting program properties from 'big code'.
Commun. ACM, 2019

Unsupervised learning of API aliasing specifications.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

Scalable taint specification inference with big code.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

2018
Inferring crypto API rules from code changes.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Debin: Predicting Debug Information in Stripped Binaries.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Program Synthesis for Character Level Language Modeling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning a Static Analyzer from Data.
Proceedings of the Computer Aided Verification - 29th International Conference, 2017

2016
Learning from Large Codebases.
PhD thesis, 2016

Learning programs from noisy data.
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016

Probabilistic model for code with decision trees.
Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, 2016

PHOG: Probabilistic Model for Code.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Statistical Deobfuscation of Android Applications.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Parallelizing user-defined aggregations using symbolic execution.
Proceedings of the 25th Symposium on Operating Systems Principles, 2015

Programming with "Big Code": Lessons, Techniques and Applications.
Proceedings of the 1st Summit on Advances in Programming Languages, 2015

Stateless model checking of event-driven applications.
Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, 2015

Scalable race detection for Android applications.
Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, 2015

2014
Code completion with statistical language models.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

Commutativity race detection.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

Phrase-Based Statistical Translation of Programming Languages.
Proceedings of the Onward! 2014, 2014

2013
Automatic Synthesis of Deterministic Concurrency.
Proceedings of the Static Analysis - 20th International Symposium, 2013

Effective race detection for event-driven programs.
Proceedings of the 2013 ACM SIGPLAN International Conference on Object Oriented Programming Systems Languages & Applications, 2013

Refactoring with synthesis.
Proceedings of the 2013 ACM SIGPLAN International Conference on Object Oriented Programming Systems Languages & Applications, 2013

2010
Fast Routing in Very Large Public Transportation Networks Using Transfer Patterns.
Proceedings of the Algorithms, 2010

2009
Language-Independent Sentiment Analysis Using Subjectivity and Positional Information.
Proceedings of the Recent Advances in Natural Language Processing, 2009


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