3 papers
cs.CV2026
Seeking Necessary and Sufficient Information from Multimodal Medical Data
Boyu Chen, Weiye Bao, Junjie Liu +5
Learning multimodal representations from medical images and other data sources can provide richer information for decision-making. While various multimodal models have been develop…
cs.LG2025
Causal Representation Learning from Multimodal Biomedical Observations
Yuewen Sun, Lingjing Kong, Guangyi Chen +10
Prevalent in biomedical applications (e.g., human phenotype research), multimodal datasets can provide valuable insights into the underlying physiological mechanisms. However, curr…
cs.LG2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
Boyu Chen, Junjie Liu, Zhu Li +1
Probability of necessity and sufficiency (PNS) measures the likelihood of a feature set being both necessary and sufficient for predicting an outcome. It has proven effective in gu…