Causal Representation Learning - Data Learning Seminar

Explore a comprehensive presentation on Causal Representation Learning delivered by Johann Brehmer from Qualcomm for the Data Learning working group. Recorded during the weekly working group meeting on December 13, 2022, this 1-hour and 7-minute talk delves into the intersection of Data Assimilation and Machine Learning. Gain insights from this interdisciplinary research group's efforts to develop cutting-edge technologies in the field. Learn about the latest advancements in causal representation learning and its applications in various domains. Discover how this emerging area of study combines causality with representation learning to enhance machine learning models' interpretability and robustness. Engage with the content presented by experts in the field and expand your knowledge of this innovative approach to data analysis and modeling.

Data Learning: Causal Representation Learning