2 citations · 6 across the 5 of their papers we have counts for
5 papers
LTNtorch: PyTorch Implementation of Logic Tensor Networks
Tommaso Carraro, Luciano Serafini, Fabio Aiolli
Logic Tensor Networks (LTN) is a Neuro-Symbolic framework that effectively incorporates deep learning and logical reasoning. In particular, LTN allows defining a logical knowledge…
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro +5
The advent of powerful neural classifiers has increased interest in problems that require both learning and reasoning. These problems are critical for understanding important prope…
Novel Applications for VAE-based Anomaly Detection Systems
Luca Bergamin, Tommaso Carraro, Mirko Polato +1
The recent rise in deep learning technologies fueled innovation and boosted scientific research. Their achievements enabled new research directions for deep generative modeling (DG…
Bayes Point Rule Set Learning
Fabio Aiolli, Luca Bergamin, Tommaso Carraro +1
Interpretability is having an increasingly important role in the design of machine learning algorithms. However, interpretable methods tend to be less accurate than their black-box…
Conditioned Variational Autoencoder for top-N item recommendation
Tommaso Carraro, Mirko Polato, Fabio Aiolli
In this paper, we propose a Conditioned Variational Autoencoder (C-VAE) for constrained top-N item recommendation where the recommended items must satisfy a given condition. The pr…