Turing Lecture: Deep Learning for AI and System-2 Reasoning
Reviews distributed representations and attention mechanisms before proposing sparse, modular causal factor graphs for out-of-distribution generalization.
Faculty & visiting speakers
Self-contained seminars, public lectures, and invited talks.
Reviews distributed representations and attention mechanisms before proposing sparse, modular causal factor graphs for out-of-distribution generalization.