3 papers
cs.LG2025
Marginal Flow: a flexible and efficient framework for density estimation
Marcello Massimo Negri, Jonathan Aellen, Manuel Jahn +2
Current density modeling approaches suffer from at least one of the following shortcomings: expensive training, slow inference, approximate likelihood, mode collapse or architectur…
cs.CV2025
Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models
Jonathan Aellen, Florian Burkhardt, Thomas Vetter +1
In medical imaging, point distribution models are often used to reconstruct and complete partial shapes using a statistical model of the full shape. A commonly overlooked, but cruc…
cs.LG2025
Injective flows for star-like manifolds
Marcello Massimo Negri, Jonathan Aellen, Volker Roth
Normalizing Flows (NFs) are powerful and efficient models for density estimation. When modeling densities on manifolds, NFs can be generalized to injective flows but the Jacobian d…