Search Results for author: Yuhao Ni

Found 2 papers, 1 papers with code

DiscDiff: Latent Diffusion Model for DNA Sequence Generation

no code implementations8 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.

Latent Diffusion Model for DNA Sequence Generation

1 code implementation9 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.

Text Generation

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