Gabriele D'Acunto

According to our database, Gabriele D'Acunto authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Consistent Causal Abstraction Networks.

Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa

CoRR, February, 2026

2025

Simplicial Gaussian Models: Representation and Inference.

Lorenzo Marinucci, Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa

CoRR, October, 2025

Learning the Structure of Connection Graphs.

Leonardo Di Nino, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo

CoRR, October, 2025

The Causal Abstraction Network: Theory and Learning.

Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa

CoRR, September, 2025

The Relativity of Causal Knowledge.

Gabriele D'Acunto, Claudio Battiloro

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Causal Abstraction Learning based on the Semantic Embedding Principle.

Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Colored Markov Random Fields for Probabilistic Topological Modeling.

Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto, Mario Edoardo Pandolfo, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 59th Asilomar Conference on Signals, 2025

Learning Network Sheaves for AI-native Semantic Communication.

Enrico Grimaldi, Mario Edoardo Pandolfo, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Learning Multi-Frequency Partial Correlation Graphs.

Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa

IEEE Trans. Signal Process., 2024

Extracting the Multiscale Causal Backbone of Brain Dynamics.

Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri

Proceedings of the Causal Learning and Reasoning, 2024

2023

Learning Multiscale Non-stationary Causal Structures.

Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi

Trans. Mach. Learn. Res., 2023

Multiscale Causal Structure Learning.

Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa

Trans. Mach. Learn. Res., 2023

2022

Multiscale Non-stationary Causal Structure Learning from Time Series Data.

Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi

CoRR, 2022

2021

The evolving causal structure of equity risk factors.

Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021