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Tutorial
(Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization
David Duvenaud · J. Zico Kolter · Matthew Johnson

Mon Dec 07 01:30 PM -- 04:00 PM (PST) @ None

Author Information

David Duvenaud (University of Toronto)
J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)

Zico Kolter is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, and also serves as Chief Scientist of AI Research for the Bosch Center for Artificial Intelligence. His work focuses on the intersection of machine learning and optimization, with a large focus on developing more robust, explainable, and rigorous methods in deep learning. In addition, he has worked on a number of application areas, highlighted by work on sustainability and smart energy systems. He is the recipient of the DARPA Young Faculty Award, and best paper awards at KDD, IJCAI, and PESGM.

Matthew Johnson (Google Brain)

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