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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…