Good Papers

Showing papers from University at Buffalo, SUNY Show all papers

57%Worth a look
?Worth a lookVote to see the score

MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation

Protyay Dey, Ayush Roy, Hyuna Cho, Won Hwa Kim and 1 more

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

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
86%Must read
?Must readVote to see the score

MonarchRT: Efficient Attention for Real-Time Video Generation

Monarch-RT factorizes video diffusion attention via Monarch matrices to reach 95% sparsity without quality loss, enabling 16 FPS real-time generation on one GPU with 1.4-11.8x kernel speedups.

Krish Agarwal, Zhuoming Chen, cheng Luo, Yongqi Chen and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 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: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5