research
∙
05/18/2022
Control of Dynamic Financial Networks (The Extended Version)
The current global financial system forms a highly interconnected networ...
share
research
∙
01/30/2022
Clearing Payments in Dynamic Financial Networks
This paper proposes a novel dynamical model for determining clearing pay...
research
∙
08/20/2021
Self-supervised learning for joint SAR and multispectral land cover classification
Self-supervised learning techniques are gaining popularity due to their ...
research
∙
04/13/2021
COVID-19 case data for Italy stratified by age class
The dataset described in this paper contains daily data about COVID-19 c...
research
∙
03/30/2021
Denoise and Contrast for Category Agnostic Shape Completion
In this paper, we present a deep learning model that exploits the power ...
research
∙
03/29/2021
RAN-GNNs: breaking the capacity limits of graph neural networks
Graph neural networks have become a staple in problems addressing learni...
research
∙
03/19/2021
Optimal Clearing Payments in a Financial Contagion Model
Modern financial networks are characterized by complex structures of mut...
research
∙
12/10/2020
Deep learning methods for SAR image despeckling: trends and perspectives
Synthetic aperture radar (SAR) images are affected by a spatially-correl...
research
∙
07/06/2020
Learning Graph-Convolutional Representations for Point Cloud Denoising
Point clouds are an increasingly relevant data type but they are often c...
research
∙
07/04/2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Information extraction from synthetic aperture radar (SAR) images is hea...
research
∙
01/15/2020
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
SAR despeckling is a problem of paramount importance in remote sensing, ...
research
∙
01/15/2020
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
Deep learning methods for super-resolution of a remote sensing scene fro...
research
∙
11/19/2019
Survival and Neural Models for Private Equity Exit Prediction
Within the Private Equity (PE) market, the event of a private company un...
research
∙
11/17/2019
Sparse ℓ_1 and ℓ_2 Center Classifiers
The nearest-centroid classifier is a simple linear-time classifier based...
research
∙
07/19/2019
Deep Graph-Convolutional Image Denoising
Non-local self-similarity is well-known to be an effective prior for the...
research
∙
07/15/2019
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images
Recently, convolutional neural networks (CNN) have been successfully app...
research
∙
05/29/2019
Image Denoising with Graph-Convolutional Neural Networks
Recovering an image from a noisy observation is a key problem in signal ...
research
∙
04/17/2018
Sampling of graph signals via randomized local aggregations
Sampling of signals defined over the nodes of a graph is one of the cruc...
research
∙
12/18/2017
