Physics-Guided AI for Learning Spatiotemporal Dynamics Read more about Physics-Guided AI for Learning Spatiotemporal Dynamics
CITP Distinguished Lecture Series: Jon Kleinberg – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization Read more about CITP Distinguished Lecture Series: Jon Kleinberg – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
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A Language-Based Model of Organizational Identification Demonstrates How Within-Person Changes in Identification Relate to Network Position Read more about A Language-Based Model of Organizational Identification Demonstrates How Within-Person Changes in Identification Relate to Network Position
Some Thoughts on Generalization in Deep Learning: Mehul Motani (National University of Singapore) Read more about Some Thoughts on Generalization in Deep Learning: Mehul Motani (National University of Singapore)
Learning by Random Features: Sharp Asymptotics and Universality Laws Read more about Learning by Random Features: Sharp Asymptotics and Universality Laws
Bayesian Risk Optimization (BRO): A New Approach to Data-driven Stochastic Optimization Read more about Bayesian Risk Optimization (BRO): A New Approach to Data-driven Stochastic Optimization
MCMC vs. Variational Inference -- for Credible Learning and Decision-Making at Scale Read more about MCMC vs. Variational Inference -- for Credible Learning and Decision-Making at Scale
Bridging the Gap Between AI and Clinical Neuroscience via Deep-Generative Fusion Models Read more about Bridging the Gap Between AI and Clinical Neuroscience via Deep-Generative Fusion Models
