A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions

arXiv:2605.06272 · cs.LG · Submitted 2026-05-07 · Read on arXiv

cs.LG

Submitted: 2026-05-07

Updated: 2026-09-30

Terminology

• Adaptation — 2× in this paper · explained in 1 episode
• Flow Matching — 2× in this paper · explained in 10 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes

Sources

• eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
• Classifier-Free Diffusion Guidance
• LoRA: Low-Rank Adaptation of Large Language Models
• Scalable Diffusion Models with Transformers
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Deep Kernel Learning
• Learning Likelihoods with Conditional Normalizing Flows

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks