Jean-Stanislas Denain

I’m a PhD student in Statistics at UC Berkeley, advised by Jacob Steinhardt. I work on making machine learning systems safer. Before moving to the Bay Area, I studied applied mathematics at École polytechnique.

You can find me on Github, and reach out via email.

Publications

Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior
Jean-Stanislas Denain, Jacob Steinhardt
[code]

Grounding Representation Similarity with Statistical Testing
Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt
NeurIPS 2021
[blog post], [code], [data]

Teaching

STAT157/260: Forecasting
GSI
[syllabus], [calendar], [leaderboard]