AINewsnow

ConicFlow: constrained Inference-time optimal control for flow matching models

arXiv:2610.14307v1 Announce Type: new Abstract: We propose ConicFlow, which frames constrained sampling from a flow matching model at inference time as an optimal control problem that balances deviation from the pretrained trajectory against reward, subject to hard terminal constraints. We discreti…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-14 04:00 · arXiv cs.AI
    ConicFlow: constrained Inference-time optimal control for flow matching models

More stories

  1. Gemini 4 Argon: Built to solve your hardest problems — Google AI Blog
  2. FBI arrests OpenAI engineer for planting listening device — Sky News Technology
  3. Alibaba launches Qwen N1 smart glasses to rival Meta Ray-Ban — Mint AI
  4. Google DeepMind and Singapore GovTech Launch On-Device Scam Detection Model — Google DeepMind Blog
  5. Apple launches HomeView smart display and updated Apple TV 4K with Siri AI — The Guardian AI
  6. UK Ecosystem Accelerates AI Deployment Across Industries — NVIDIA Blog
  7. European Cities Deploy AI Agents for Smarter Urban Operations — NVIDIA Blog
  8. Qwen 3.8 Flash Next gains traction in local AI community — r/LocalLLaMA

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