New method for addressing the reliability challenges of neural networks in inverse imaging problems
Uncertainty estimation is critical to improving the reliability of deep neural networks. A research team led by Aydogan Ozcan at the University of California, Los Angeles, has introduced an uncertainty quantification method ...
Jan 16, 2024
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