Aditya Kanade

Orcid: 0000-0003-4423-0177

According to our database1, Aditya Kanade authored at least 61 papers between 2005 and 2024.

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Bibliography

2024
CORE: Resolving Code Quality Issues using LLMs.
Proc. ACM Softw. Eng., 2024

CodePlan: Repository-Level Coding using LLMs and Planning.
Proc. ACM Softw. Eng., 2024

An Empirical Study of Validating Synthetic Data for Formula Generation.
CoRR, 2024

MASAI: Modular Architecture for Software-engineering AI Agents.
CoRR, 2024

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository.
CoRR, 2024

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness.
CoRR, 2024

CodeQueries: A Dataset of Semantic Queries over Code.
Proceedings of the 17th Innovations in Software Engineering Conference, 2024

FLAME: A Small Language Model for Spreadsheet Formulas.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Frustrated with Code Quality Issues? LLMs can Help!
CoRR, 2023

StaticFixer: From Static Analysis to Static Repair.
CoRR, 2023

Guiding Language Models of Code with Global Context using Monitors.
CoRR, 2023

GrACE: Generation using Associated Code Edits.
CoRR, 2023

Grace: Language Models Meet Code Edits.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Attention-Guided Deep Learning Framework For Movement Quality Assessment.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
BNSynth: Bounded Boolean Functional Synthesis.
CoRR, 2022

Learning to Answer Semantic Queries over Code.
CoRR, 2022

A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment.
CoRR, 2022

Automating Software Engineering with Machine Learning.
Proceedings of the ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24, 2022

Tele-EvalNet: A Low-Cost, Teleconsultation System for Home Based Rehabilitation of Stroke Survivors Using Multiscale CNN-ConvLSTM Architecture.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture.
CoRR, 2021

Stateful Detection of Model Extraction Attacks.
CoRR, 2021

2020
Pre-trained Contextual Embedding of Source Code.
CoRR, 2020

Learning and Evaluating Contextual Embedding of Source Code.
Proceedings of the 37th International Conference on Machine Learning, 2020

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Learning for Bug-Localization in Student Programs.
CoRR, 2019

A framework for the extraction of Deep Neural Networks by leveraging public data.
CoRR, 2019

Chapter Seven - Event-Based Concurrency: Applications, Abstractions, and Analyses.
Adv. Comput., 2019

Neural Attribution for Semantic Bug-Localization in Student Programs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Program Repair by Jointly Learning to Localize and Repair.
Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Greybox fuzzing as a contextual bandits problem.
CoRR, 2018

Deep Reinforcement Learning for Programming Language Correction.
CoRR, 2018

Active Learning for Efficient Testing of Student Programs.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Static deadlock detection for asynchronous C# programs.
Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

Efficient computation of happens-before relation for event-driven programs.
Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017

DeepFix: Fixing Common C Language Errors by Deep Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Partial Order Reduction for Event-Driven Multi-threaded Programs.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2016

Semi-supervised verified feedback generation.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Asynchrony-aware static analysis of Android applications.
Proceedings of the 2016 ACM/IEEE International Conference on Formal Methods and Models for System Design, 2016

Efficient race detection in the presence of programmatic event loops.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

2015
Non-deterministic transducer models of retransmission protocols over noisy channels.
Inf. Process. Lett., 2015

A Partial Order Reduction Technique for Event-driven Multi-threaded Programs.
CoRR, 2015

P3: partitioned path profiling.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Rely/Guarantee Reasoning for Asynchronous Programs.
Proceedings of the 26th International Conference on Concurrency Theory, 2015

2014
Mining Unit Tests for Discovery and Migration of Math APIs.
ACM Trans. Softw. Eng. Methodol., 2014

Race detection for Android applications.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

MUX: algorithm selection for software model checkers.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

MintHint: automated synthesis of repair hints.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
Transducer-Based Algorithmic Verification of Retransmission Protocols over Noisy Channels.
Proceedings of the Formal Techniques for Distributed Systems, 2013

Discovering Math APIs by Mining Unit Tests.
Proceedings of the Fundamental Approaches to Software Engineering, 2013

2012
A Logic for Correlating Temporal Properties across Program Transformations
CoRR, 2012

Static Analysis for Checking Data Format Compatibility of Programs.
Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2012

2010
Representation dependence testing using program inversion.
Proceedings of the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2010

2009
Validation of GCC optimizers through trace generation.
Softw. Pract. Exp., 2009

Generating and Analyzing Symbolic Traces of Simulink/Stateflow Models.
Proceedings of the Computer Aided Verification, 21st International Conference, 2009

2008
Symbolic analysis for improving simulation coverage of Simulink/Stateflow models.
Proceedings of the 8th ACM & IEEE International conference on Embedded software, 2008

Ranking Automata and Games for Prioritized Requirements.
Proceedings of the Computer Aided Verification, 20th International Conference, 2008

2006
Structuring Optimizing Transformations and Proving Them Sound.
Proceedings of the 5th International Workshop on Compiler Optimization meets Compiler Verification, 2006

A PVS Based Framework for Validating Compiler Optimizations.
Proceedings of the Fourth IEEE International Conference on Software Engineering and Formal Methods (SEFM 2006), 2006

2005
Heterogeneous Fixed Points with Application to Points-To Analysis.
Proceedings of the Programming Languages and Systems, Third Asian Symposium, 2005


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