Good Papers

Showing papers from Rutgers - New Brunswick Show all papers

71%Highly rated
?Highly ratedVote to see the score

Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics

Attention-only transformers under token corruption implement two-stage in-context empirical Bayes via depth-refined particle dynamics and skip-connection queries, enabling depth-dependent denoising without explicit noise schedules and posterior-mean convergence to Bayes-optimal predictors.

Matthew Smart, Soumya Ganguly, Nilava Metya, Alexandre V Morozov and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 1/5