Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline

Documenti analoghi

• Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
  di: Zhao, Hanyang, et al.
  Pubblicazione: (2024)
• Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
  di: Guo, Zhengyi, et al.
  Pubblicazione: (2025)
• Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach
  di: Guo, Zhengyi, et al.
  Pubblicazione: (2026)
• Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
  di: Sheng, Jiayuan, et al.
  Pubblicazione: (2025)
• Learning from models beyond fine-tuning
  di: Zheng, Hongling, et al.
  Pubblicazione: (2023)