Neural Ordinary Differential Equations with David Duvenaud - #364

Join David Duvenaud, an Assistant Professor at the University of Toronto, as he shares his insights on Neural Ordinary Differential Equations (ODEs). He discusses how ODEs could revolutionize neural networks by offering continuous-depth modeling and tackling complex dynamics. David dives into their application in managing irregular medical time series data, emphasizing the efficiency of predictive analytics. He also touches on the balance between specialization and the exploration of diverse research interests, making this conversation a fascinating blend of theory and real-world application.