Learning and Inference with Prior Knowledge

Explore a thought-provoking lecture on the role of prior knowledge in learning and inference, delivered by Xuexin Wei from the University of Texas at Austin at IPAM's Analyzing High-dimensional Traces of Intelligent Behavior Workshop. Delve into the fascinating intersection of neuroscience and artificial intelligence as Wei presents ongoing research projects from his lab. Discover how prior knowledge implementation in the brain remains an open question in neuroscience and learn about the challenges of developing computational algorithms for learning prior distribution over complex stimulus spaces in AI. Gain insights into cognitive neuroscience studies examining the influence of prior knowledge learning on human behavior, and explore Neuro-AI approaches for enhancing the behavioral robustness of deep networks through leveraging prior knowledge. Recorded on September 25, 2024, this one-hour talk offers a comprehensive look at cutting-edge research in intelligent systems adaptation, brain function, and AI development.