3 papers
physics.med-ph2024
Efficient Radiation Treatment Planning based on Voxel Importance
Sebastian Mair, Anqi Fu, Jens Sjölund
Radiation treatment planning involves optimization over a large number of voxels, many of which carry limited information about the clinical problem. We propose an approach to redu…
cs.LG2024
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
Maria Bånkestad, Jennifer R. Andersson, Sebastian Mair +1
Reducing a graph while preserving its overall properties is an important problem with many applications. Typically, reduction approaches either remove edges (sparsification) or mer…
cs.LG2023
On Feynman--Kac training of partial Bayesian neural networks
Zheng Zhao, Sebastian Mair, Thomas B. Schön +1
Recently, partial Bayesian neural networks (pBNNs), which only consider a subset of the parameters to be stochastic, were shown to perform competitively with full Bayesian neural n…