Causal Representation Learning Through Multi-Modal Data Integration

Causal Representation Learning Through Multi-Modal Data Integration

Explore causal representation learning through multi-modal data integration in this 1-hour 17-minute workshop talk by Caroline Uhler from the Eric and Wendy Schmidt Center at the Broad Institute and MIT. Delivered as part of the Novo Nordisk Foundation Center Workshop on Multimodal Data Integration, the presentation delves into advanced techniques for integrating diverse data types to uncover causal relationships. Gain insights into cutting-edge approaches at the intersection of causality, machine learning, and multi-modal data analysis. Learn how these methods can be applied to complex biological systems and other domains requiring the synthesis of heterogeneous information sources.