AINewsnow

Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

arXiv:2610.01933v1 Announce Type: new Abstract: Inference-time scaling adapts pretrained diffusion models to new sampling tasks without additional training. Existing methods rely primarily on Monte Carlo sampling with more particles, yet are premised on the pretrained model being exact. In practice…

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-10-02 04:00 · arXiv stat.ML
    Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

More stories

  1. Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock — AWS Machine Learning Blog
  2. Gemini 4 Argon: our next era of frontier intelligence — Google Gemini Blog
  3. Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs — Allen Institute for AI (Ai2)
  4. Google Releases New Gemini Model With Guardrails Amid A.I. Safety Debate — New York Times Technology
  5. OpenAI scraps release of its latest AI model over safety concerns — France 24 — Artificial Intelligence
  6. Introducing GPT-6.1 Sol — OpenAI News
  7. Google tests its plan for AI data centers in space with Project Suncatcher — Scientific American
  8. OpenAI’s Dots Are Always-On AI Agents—and Its Answer to Meta’s Muse — Wired AI

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