Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

Decision making algorithms are used in a multitude of different applications. Conventional approaches for designing decision algorithms employ principled and simplified modelling, based on which one can determine decisions via tractable optimization. More recently, deep learning approaches that use...

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Bibliographic Details
Main Authors: Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Optimization
deep learning
deep unfolding
learn-to-optimize
Online Access:https://ieeexplore.ieee.org/document/9934915/

Internet

https://ieeexplore.ieee.org/document/9934915/

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