A Scalable Latent Diffusion Model for Single-Cell Gene Expression Data

Giovanni Palla, Sudarshan Babu, Payam Dibaeinia, Donghui Li, Aly A Khan, Theofanis Karaletsos, Jakub M. Tomczak

Published: 23 Sept 2025, Last Modified: 26 Sept 2025AI4D3 2025 PosterEveryoneRevisionsBibTeXCC BY 4.0
Keywords: scRNA-seq, Variational Autoencoders, Latent Diffusion Model, Flow Matching, gene expression
TL;DR: New fully transformer-based VAE with latent diffusion generates realistic single-cell gene expression data by treating genes as unordered (exchangeable) rather than artificially ordering them.
Submission Number: 42