Steve Kommrusch

According to our database, Steve Kommrusch authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules.

Steve Kommrusch, Martin Monperrus, Louis-Noël Pouchet

IEEE Trans. Software Eng., July, 2023

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code.

Zimin Chen, Steve Kommrusch, Martin Monperrus

IEEE Trans. Software Eng., 2023

2021

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.

Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus

IEEE Trans. Software Eng., 2021

A Software-Repair Robot Based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu

IEEE Softw., 2021

Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules.

Steve Kommrusch, Martin Monperrus, Louis-Noël Pouchet

CoRR, 2021

Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models.

Steve Kommrusch, Théo Barollet, Louis-Noël Pouchet

CoRR, 2021

Optimizing Coherence Traffic in Manycore Processors Using Closed-Form Caching/Home Agent Mappings.

Steve Kommrusch, Marcos Horro, Louis-Noël Pouchet, Gabriel Rodríguez, Juan Touriño

IEEE Access, 2021

2020

R-Hero: A Software Repair Bot based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu

CoRR, 2020

Coherence Traffic in Manycore Processors with Opaque Distributed Directories.

Steve Kommrusch, Marcos Horro, Louis-Noël Pouchet, Gabriel Rodríguez, Juan Touriño

CoRR, 2020

Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model.

Steve Kommrusch, Théo Barollet, Louis-Noël Pouchet

CoRR, 2020

Self-Supervised Learning for Multi-Goal Grid World: Comparing Leela and Deep Q Network.

Steve Kommrusch

Proceedings of the International Workshop on Self-Supervised Learning, 2020

2019

Artificial Intelligence Techniques for Security Vulnerability Prevention.

Steve Kommrusch

CoRR, 2019

Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities.

Zimin Chen, Steve Kommrusch, Martin Monperrus

CoRR, 2019

Synthetic Lung Nodule 3D Image Generation Using Autoencoders.

Steve Kommrusch, Louis-Noël Pouchet

Proceedings of the International Joint Conference on Neural Networks, 2019