48 citations · 119 across the 5 of their papers we have counts for
5 papers
Blind Image Restoration with Flow Based Priors
Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah +2
Image restoration has seen great progress in the last years thanks to the advances in deep neural networks. Most of these existing techniques are trained using full supervision wit…
Lossy Image Compression with Normalizing Flows
Leonhard Helminger, Abdelaziz Djelouah, Markus Gross +1
Deep learning based image compression has recently witnessed exciting progress and in some cases even managed to surpass transform coding based approaches that have been establishe…
Shapley Value as Principled Metric for Structured Network Pruning
Marco Ancona, Cengiz Öztireli, Markus Gross
Structured pruning is a well-known technique to reduce the storage size and inference cost of neural networks. The usual pruning pipeline consists of ranking the network internal f…
Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross +1
Artistically controlling the shape, motion and appearance of fluid simulations pose major challenges in visual effects production. In this paper, we present a neural style transfer…
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
Marco Ancona, Cengiz Öztireli, Markus Gross
The problem of explaining the behavior of deep neural networks has recently gained a lot of attention. While several attribution methods have been proposed, most come without stron…