1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2026★ 1 cited
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
Giovanni Palla, Sudarshan Babu, Payam Dibaeinia +5
Computational modeling of single-cell gene expression is crucial for understanding cellular processes, but generating realistic expression profiles remains a major challenge. This…
cs.CE2026
Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics
Ali ElSheikh, Rui-Xi Wang, Weimin Wu +9
Single-cell foundation models learn by reconstructing masked gene expression, implicitly treating technical noise as signal. With dropout rates exceeding 90%, reconstruction object…