8 citations · 20 across the 5 of their papers we have counts for
5 papers
Tensor Decompositions in Deep Learning
Davide Bacciu, Danilo P. Mandic
The paper surveys the topic of tensor decompositions in modern machine learning applications. It focuses on three active research topics of significant relevance for the community.…
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders
Andrea Valenti, Antonio Carta, Davide Bacciu
We address the challenging open problem of learning an effective latent space for symbolic music data in generative music modeling. We focus on leveraging adversarial regularizatio…
Encoding-based Memory Modules for Recurrent Neural Networks
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Learning to solve sequential tasks with recurrent models requires the ability to memorize long sequences and to extract task-relevant features from them. In this paper, we study th…
Theoretically Expressive and Edge-aware Graph Learning
Federico Errica, Davide Bacciu, Alessio Micheli
We propose a new Graph Neural Network that combines recent advancements in the field. We give theoretical contributions by proving that the model is strictly more general than the…
Deep Tree Transductions - A Short Survey
Davide Bacciu, Antonio Bruno
The paper surveys recent extensions of the Long-Short Term Memory networks to handle tree structures from the perspective of learning non-trivial forms of isomorph structured trans…