AINewsnow

FlowBudget: Training-Free Sampling-Budget Estimation for Flow Matching Models

arXiv:2610.20636v1 Announce Type: new Abstract: Sampling from continuous flow-based generators such as flow matching models requires numerical ODE or SDE integration, making inference cost depend on the number of function evaluations (NFEs). In practice, the sampling budget is inherited from prior…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

  1. 2026-10-16 04:00 · arXiv cs.LG
    FlowBudget: Training-Free Sampling-Budget Estimation for Flow Matching Models

More stories

  1. Meta releases 816B Muse Spark Open; NVIDIA launches Nemotron 3.5 models — AWS Machine Learning Blog
  2. Google launches Universal Cart shopping tool in the US — Google Gemini Blog
  3. Meta and Apple Partner to Run Open-Weight Muse AI Model on Macs — Wall Street Journal Technology
  4. Black Forest Labs releases open-weight FLUX.3 Klein image model — Hugging Face Blog
  5. Hong Kong launches embodied AI hub to boost robotics sector — South China Morning Post Tech
  6. Hugging Face details 2.8 trillion token Indic pretraining pipeline — Hugging Face Blog
  7. Microsoft and Nvidia launch RTX Spark laptops optimized for AI — NVIDIA Blog
  8. Liquid AI releases d1-ultra multimodal decision model — Vercel Blog

Get the daily brief of stories like this at 6:30 every morning →