Johann Brehmer

Join Johann Brehmer, a research scientist at Qualcomm AI Research, as he dives into the intriguing world of causal representation learning. He shares insights from his work, emphasizing how high-level causal representations can be identified in weakly supervised environments. They discuss the implications of causality in machine learning, including advancements in autonomous driving and the challenges faced in achieving reliable systems. Brehmer also highlights innovative methodologies and new frameworks for optimizing neural networks and understanding complex causal mechanisms.