New Developments in Computational Imaging, Learning, and Inverse Problems
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Organizer(s): |
Name:
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Affiliation:
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Country:
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Kui Ren
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Columbia University
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USA
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Introduction:
| | The field of computational inverse problems, broadly defined, is rapidly changing as new ideas and computational tools, such as those based on deep learning methods, reduced-order models, and optimal transport theory, are constantly introduced. This special session aims to bring together experts around the world to discuss recent developments in this exciting area of research.
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