arxiv
PublishedApril 10, 2026 at 4:00 AM
▲bullish
FVD: Inference-Time Alignment of Diffusion Models via Fleming-Viot Resampling
Publisher summary· verbatim
arXiv:2604.06779v1 Announce Type: new Abstract: We introduce Fleming-Viot Diffusion (FVD), an inference-time alignment method that resolves the diversity collapse commonly observed in Sequential Monte Carlo (SMC) based diffusion samplers. Existing SMC-based diffusion samplers often rely on multinomi
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation52marxivCounterfactual Model Testing Under Distribution Shift52marxivCentralized Critics for N-Agent Ad Hoc Teamwork52marxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning52mThe Bubble Brief
MON · WED · FRIRead diffusion insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗