Good Papers

Showing papers from Johns Hopkins University; Google Show all papers

83%Must read
?Must readVote to see the score

Heavy-Tailed Flow Matching via Random Clocks

HTFM models heavy-tailed sources as mixtures of clock-conditioned Gaussians to improve mode coverage, sample quality, and tail recovery over Gaussian flow matching while enabling tail calibration via clock laws.

Zhouhao Yang, Yezhen Wang, Kenji Kawaguchi, Vladimir Braverman and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
13/20 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: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5