15.1k citations · 36.9k across the 152 of their papers we have counts for
3 papers · 2 filters
Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification
Jakub M. Tomczak, Maximilian Ilse, Max Welling
The computer-aided analysis of medical scans is a longstanding goal in the medical imaging field. Currently, deep learning has became a dominant methodology for supporting patholog…
Convolutional Networks for Spherical Signals
Taco Cohen, Mario Geiger, Jonas Köhler +1
The success of convolutional networks in learning problems involving planar signals such as images is due to their ability to exploit the translation symmetry of the data distribut…
VAE with a VampPrior
Jakub M. Tomczak, Max Welling
Many different methods to train deep generative models have been introduced in the past. In this paper, we propose to extend the variational auto-encoder (VAE) framework with a new…