Explore the cutting-edge intersection of machine learning and dynamical systems in this 23-minute conference talk by Jan Drgona from Pacific Northwest National Laboratory. Delve into the world of differentiable programming and its applications in data-driven modeling, optimization, and control. Gain insights into how these advanced techniques are shaping the future of scientific computing and engineering. Part of the Fourth Symposium on Machine Learning and Dynamical Systems, this presentation offers a concise yet comprehensive overview of the latest developments in this rapidly evolving field.
Differentiable Programming for Data-driven Modeling, Optimization, and Control
Overview
Syllabus
Differentiable Programming for Data-driven Modeling, Optimization, and Control
Taught by
Fields Institute
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