4 papers
Multimodal data integration and cross-modal querying via orchestrated approximate message passing
Sagnik Nandy, Zongming Ma
The need for multimodal data integration arises naturally when multiple complementary sets of features are measured on the same sample. Under a dependent multifactor model, we deve…
MoDaH achieves rate optimal batch correction
Yang Cao, Zongming Ma
Batch effects pose a significant challenge in the analysis of single-cell omics data, introducing technical artifacts that confound biological signals. While various computational…
IndiSeek learns information-guided disentangled representations
Yu Gui, Cong Ma, Zongming Ma
Learning disentangled representations is a fundamental task in multi-modal learning. In modern applications such as single-cell multi-omics, both shared and modality-specific featu…
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
Yu Gui, Cong Ma, Zongming Ma
Multi-modal contrastive learning as a self-supervised representation learning technique has achieved great success in foundation model training, such as CLIP~\citep{radford2021lear…