35 citations · 35 across the 4 of their papers we have counts for
4 papers
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In recent literature there are plenty of works that combine handcrafted and learnable regularizers to solve inverse imaging problems. While this hybrid approach has demonstrated pr…
Deep Equilibrium Models Meet Federated Learning
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networ…
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In this study, the problem of computing a sparse representation of multi-dimensional visual data is considered. In general, such data e.g., hyperspectral images, color images or vi…
Potential Games for Distributed Constrained Consensus
Dimitris Ampeliotis, Kostas Berberidis
The problem of computing a common point that lies in the intersection of a finite number of closed convex sets, each known to one agent in a network, is studied. This issue, known…