Author

Joakim Beck

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#machine learning Preprint Oct 2026

Learned Adaptive Multiresolution Diffusion Imaging

Adaptive multiresolution methods reduce representation cost by concentrating fine-scale degrees of freedom where needed, but their tree updates are usually governed by fixed local criteria. We introduce Learned Adaptive Multiresolution Diffusion Imaging (Learned AMDI), which preserves the AMDI fixed-tree propagator and...

Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås et al. · 0 citations

Preprint Oct 2026

Adaptive Multiresolution Diffusion Operators: A Variational Theory on Evolving Multiresolution Spaces

We develop a variational framework for state-dependent diffusion on adaptive multiresolution representations in which the diffusion operator is generated by the adaptive state itself. The state consists of an admissible multiresolution tree, its active approximation space and basis, and the corresponding coefficient re...

Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås et al. · 1 citation