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Welcome!
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Of all the things I have learned in my graduate school journey so far, the most important is the power of writing.
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publications
Guide to Computational Reproducibility in Signal Processing and Machine Learning Research
Published in arXiv, 2022
Reproducibility is a growing concern amongst the machine learning and signal processing community. In this work we present a set of standards and best practices that researchers can employ to ensure their computational experiments are computationally reproducible.
Recommended citation: Shenouda, Joseph, and Waheed U. Bajwa. "A guide to computational reproducibility in signal processing and machine learning." arXiv preprint arXiv:2108.12383 (2021). https://arxiv.org/abs/2108.12383