Below are links to previous presentations during AAII Seminars.

• New Approaches to Anomaly Detection by David Shih
• Hidden Physics by Maziar Raissi
• TriMap: Large-scale Dimensionality Reduction Using Triplets by Ehsan Amid
• Bayesian Pragmatics for Natural Language by Reuben Cohn-Gordon
• Nanopore Variant Calling using Deep Neural Networks by Kishwar Shafin
• Tactical Decision Making for Autonomous Driving Using Deep Reinforcement Learning by Majid Moghadam
• Deep Learning Visualization by J. Xavier Prochaska
• LURE (Learning UnRealized Events) by David Haan
• Batch Science by Jaehoon Lee (Google Brain)
•  Quasar continua predictions with neural spline flows by David Reiman (UCSC; DeepMind)
• Powers and Pitfalls of Deep Generative Models in Scientific Applications by Vanessa Bohm (LBNL)