14 citations · 14 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 14 cited
Variational Inference with Hamiltonian Monte Carlo
Christopher Wolf, Maximilian Karl, Patrick van der Smagt
Variational inference lies at the core of many state-of-the-art algorithms. To improve the approximation of the posterior beyond parametric families, it was proposed to include MCM…
cs.NE2014
Improving approximate RPCA with a k-sparsity prior
Maximilian Karl, Christian Osendorfer
A process centric view of robust PCA (RPCA) allows its fast approximate implementation based on a special form o a deep neural network with weights shared across all layers. Howeve…