CORES Annual Symposium 2024
Reproducibility in Machine Learning
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Reproducibility in Machine Learning
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Faculty and students come together for a half-day symposium to delve into the fascinating world of Reproducibility in Machine Learning. This is an exceptional opportunity to amplify your knowledge and understanding of this essential aspect of machine learning.
View the Agenda here (subject to change).