3 papers
cs.CV2025
Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
Mohammed Amer, Mohamed A. Suliman, Tu Bui +2
Healthcare applications are inherently multimodal, benefiting greatly from the integration of diverse data sources. However, the modalities available in clinical settings can vary…
cs.LG2025
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri, Anjan Dutta, Tu Bui +1
We aim to develop a fundamental understanding of modality collapse, a recently observed empirical phenomenon wherein models trained for multimodal fusion tend to rely only on a sub…
cs.LG2025
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
Tu Bui, Mohamed Suliman, Aparajita Haldar +2
Despite the transformative impact of deep learning on text, audio, and image datasets, its dominance in tabular data, especially in the medical domain where data are often scarce,…