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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…