activity
20162021
most citedEnd-to-end reconstruction meets data-driven regularization for inverse problems

12 citations · 13 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV202112 cited

End-to-end reconstruction meets data-driven regularization for inverse problems

Subhadip Mukherjee, Marcello Carioni, Ozan Öktem +1

We propose an unsupervised approach for learning end-to-end reconstruction operators for ill-posed inverse problems. The proposed method combines the classical variational framewor…

cs.CV20211 cited

CAFLOW: Conditional Autoregressive Flows

Georgios Batzolis, Marcello Carioni, Christian Etmann +3

We introduce CAFLOW, a new diverse image-to-image translation model that simultaneously leverages the power of auto-regressive modeling and the modeling efficiency of conditional n…

math.AP2019

The oriented mailing problem and its convex relaxation

Marcello Carioni, Andrea Marchese, Annalisa Massaccesi +2

In this note we introduce a new model for the mailing problem in branched transportation in order to allow the cost functional to take into account the orientation of the moving pa…

math.AP2018

External forces in the continuum limit of discrete systems with non-convex interaction potentials: Compactness for a -development

Marcello Carioni, Julian Fischer, Anja Schlömerkemper

This paper is concerned with equilibrium configurations of one-dimensional particle system with non-convex nearest-neighbour and next-to-nearest-neighbour interactions and its pass…

cs.LG2018

Sinkhorn AutoEncoders

Giorgio Patrini, Rianne van den Berg, Patrick Forré +5

Optimal transport offers an alternative to maximum likelihood for learning generative autoencoding models. We show that minimizing the p-Wasserstein distance between the generator…

math.OC2018

Sparsity of solutions for variational inverse problems with finite-dimensional data

Kristian Bredies, Marcello Carioni

In this paper we characterize sparse solutions for variational problems of the form , where is a locally convex space, is a…