activity
20102026
most citedOnline Sparse System Identification and Signal Reconstruction using Projections onto Weighted Balls

169 citations · 410 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues

Christos Petrou, Harris Partaourides, Athanasios Balomenos +2

Gaze prediction plays a critical role in Virtual Reality (VR) applications by reducing sensor-induced latency and enabling computationally demanding techniques such as foveated ren…

eess.SP2020★ 125 cited

Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks

Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis +1

We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in digital coherent syste…

stat.ML2018

Unsupervised learning of the brain connectivity dynamic using residual D-net

Youngjoo Seo, Manuel Morante, Yannis Kopsinis +1

In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net. As it is often the case in medic…

stat.ML2018

Information Assisted Dictionary Learning for fMRI data analysis

Manuel Morante, Yannis Kopsinis, Sergios Theodoridis +1

In this paper, the task-related fMRI problem is treated in its matrix factorization formulation, focused on the Dictionary Learning (DL) approach. The new method allows the incorpo…

stat.ML2016

Assisted Dictionary Learning for fMRI Data Analysis

Manuel Morante Moreno, Yannis Kopsinis, Eleftherios Kofidis +2

Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades. The goal of this work is to present a new metho…

cs.IT2012★ 11 cited

Sparsity-Aware Learning and Compressed Sensing: An Overview

Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis

This paper is based on a chapter of a new book on Machine Learning, by the first and third author, which is currently under preparation. We provide an overview of the major theoret…