3 sources
A foundational figure in generative modeling whose work helped make variational methods and optimization defaults practical for modern deep learning.
Start HereAuto-Encoding Variational Bayes
Researcher Profile
Editor reviewedJimmy Ba
Optimization, deep learning
Researcher at the University of Toronto and Vector Institute
One of the most important optimization researchers of the deep-learning era, especially for work that became default infrastructure across nearly every modern training stack.
Organizations
University of TorontoVector Institute
Topics
About This Page
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Last reviewed
March 18, 2026
Official And External Links
Known For
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01
The Adam optimizer
02
Optimization and normalization methods for deep learning
03
Research that made large neural-network training more stable and usable
04
Optimization, deep learning
05
Adam: A Method for Stochastic Optimization
06
Optimization
Start Here
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Signature Works
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