Showing 2020Show all
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cs.LG2020
Learned convex regularizers for inverse problems
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov +3
We consider the variational reconstruction framework for inverse problems and propose to learn a data-adaptive input-convex neural network (ICNN) as the regularization functional.…
math.NA2020
A Fast and Adaptive Algorithm to Compute the X-ray Transform
Chong Chen, Runqian Wang, Chandrajit Bajaj +1
We propose a new algorithm to compute the X-ray transform of an image represented by unit (pixel/voxel) basis functions. The fundamental issue is equivalently calculating the inter…