The Princeton Laboratory for Artificial Intelligence is hosting the Machine Learning Reproducibility Challenge 2025, a one-day conference for the Machine Learning community, at Princeton University, N.J., U.S., on Aug. 21, 2025. The conference will be single-track, with a mix of invited talks, oral presentations, and poster sessions.

This conference is a unique venue in the Machine Learning community to share, disseminate, and discuss reproducible methods and tools; investigate reproducibility of papers accepted for publication at top conferences; and test generalizability of scientific findings by adding novel insights and empirical results.

Information on paper submissions

Keynote Speakers:

• Arvind Narayanan, Professor of Computer Science at Princeton University & Director of the Center for Information Technology Policy

• Soumith Chintala, AI researcher, engineer and community builder

• Jonathan Frankle, Chief AI Scientist at Databricks

• Jesse Dodge, Senior Research Scientist, Allen Institute for AI

• Stella Biderman, Executive Director, Eleuther AI

More information to follow.