no code implementations • 8 Feb 2024 • Zehui Li, Yuhao Ni, William A V Beardall, Guoxuan Xia, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
This paper introduces a novel framework for DNA sequence generation, comprising two key components: DiscDiff, a Latent Diffusion Model (LDM) tailored for generating discrete DNA sequences, and Absorb-Escape, a post-training algorithm designed to refine these sequences.
1 code implementation • 9 Oct 2023 • Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao
On the other hand, Diffusion Models are a promising new class of generative models that are not burdened with these problems, enabling them to reach the state-of-the-art in domains such as image generation.