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2025 ICML ICML 2025

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani

Topics

Machine Learning > Optimization & Theory > Optimization Machine Learning > Application Areas > Domain Adaptation Deep Learning > Models > Diffusion Models

Keywords

iterative refinement protein design diffusion model theoretical guarantee dna design reward-guided generation
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