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Found 4 papers, 0 papers with code
Ablation Path Saliency
Various types of saliency methods have been proposed for explaining black-box classification.
The ML-EM algorithm in continuum: sparse measure solutions
We prove that if the measurements $\delta$ are not in the cone $\{A \mu, \mu \geq 0\}$, which is typical of short exposure times, likelihood maximisers as well as ML-EM cluster points must be sparse, i. e., typically a sum of point masses.
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
We expect this approach to scale very well to higher resolutions and to 3D, as the overall cost of our algorithm is only marginally greater than that of a standard ML-EM algorithm.
Task adapted reconstruction for inverse problems
The paper considers the problem of performing a task defined on a model parameter that is only observed indirectly through noisy data in an ill-posed inverse problem.
