Vahid Majdinasab

An Empirical Study on Bugs Inside PyTorch: A Replication Study

2023

Software systems are increasingly relying on deep learning components, due to their remarkable capability of identifying complex data patterns and powering intelligent behaviour. A core enabler of this change in software development is the availability …

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn

2024 · arXiv (Cornell University)

Machine learning models trained on code and related artifacts offer valuable support for software maintenance but suffer from interpretability issues due to their complex internal variables. These concerns are particularly significant in safety-critical applications where …