Posts tagged Reproducibility

Improving Deep Learning Reproducibility: A Case Study Investigation (2025)

This paper was led by Nadia Ravi and Aditya Goel (Purdue University), working with James C. Davis. I am one of the key leaders of this research project. The work is available as an arXiv preprint (arXiv:2505.03165).

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Deep Learning Model Reengineering: Challenges and Practices (EMSE 2024)

This paper was led by Wenxin Jiang (Purdue University, working with James C. Davis), with contributions from Vishnu Banna, Nikhil Vivek, Aditya Goel, and Nicholas Synovic. I am one of the key leaders of this research project. The work appeared in the Empirical Software Engineering journal.

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