Steve Azzolin

According to our database, Steve Azzolin authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

GNN Explanations that do not Explain and How to find Them.

Steve Azzolin, Stefano Teso, Bruno Lepri, Andrea Passerini, Sagar Malhotra

CoRR, January, 2026

Enhancing Concept Localization in CLIP-based Concept Bottleneck Models.

Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi

Trans. Mach. Learn. Res., 2026

Benchmarking XAI Explanations with Human-Aligned Evaluations.

Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Explaining the Explainers in Graph Neural Networks: a Comparative Study.

Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini

ACM Comput. Surv., May, 2025

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.

Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso

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

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.

Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Benchmarking XAI Explanations with Human-Aligned Evaluations.

Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi

CoRR, 2024

Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.

Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

CoRR, 2024

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians.

Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Liò

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

A Simple Latent Variable Model for Graph Learning and Inference.

Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Global Explainability of GNNs via Logic Combination of Learned Concepts.

Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives.

Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Multi-source Multi-domain Sentiment Analysis with BERT-based Models.

Gabriel Roccabruna, Steve Azzolin, Giuseppe Riccardi

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022