477 citations · 1.3k across the 43 of their papers we have counts for
5 papers · 1 filter
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini
In this paper, we investigate the degree of explainability of graph neural networks (GNNs). Existing explainers work by finding global/local subgraphs to explain a prediction, but…
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Jary Pomponi, Simone Scardapane, Aurelio Uncini
In this paper, we propose a novel ensembling technique for deep neural networks, which is able to drastically reduce the required memory compared to alternative approaches. In part…
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili +11
The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancemen…
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Indro Spinelli, Simone Scardapane, Amir Hussain +1
Graph representation learning has become a ubiquitous component in many scenarios, ranging from social network analysis to energy forecasting in smart grids. In several application…
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane +3
Nonlinear models are known to provide excellent performance in real-world applications that often operate in non-ideal conditions. However, such applications often require online p…