Poster · Atlanta

Estimating the expected output of wide random MLPs more efficiently than sampling

Name: Estimating the expected output of wide random MLPs more efficiently than sampling
Start: 2026-12-11T10:00:00-05:00
End: 2026-12-11T13:00:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Fri 11 Dec 2026, 10:00–13:00 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 5
Authors: Wilson Wu, Victor Lecomte, Michael Winer, George Robinson, Jacob Hilton, Paul Christiano
Organisations: Alignment Research Center, Stanford University, OpenAI

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