Steve Azzolin

17 papers A* 4B 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Benchmarking XAI Explanations with Human-Aligned Evaluations.
AAAI
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2026 J jnl
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models.
Trans. Mach. Learn. Res.
Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi
2026 J jnl
GNN Explanations that do not Explain and How to find Them.
CoRR
Steve Azzolin, Stefano Teso, Bruno Lepri, Andrea Passerini, Sagar Malhotra
2025 A* conf
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.
ICML
Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso
2025 J jnl
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.
CoRR
Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso
2025 J jnl
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models.
CoRR
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Goran Frehse, Gianni Franchi
2025 J jnl
Explaining the Explainers in Graph Neural Networks: a Comparative Study.
ACM Comput. Surv.
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
2025 A* conf
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
ICLR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2024 J jnl
Benchmarking XAI Explanations with Human-Aligned Evaluations.
CoRR
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2024 J jnl
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
CoRR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2024 — conf
Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians.
GRaM
Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Liò
2023 — conf
A Simple Latent Variable Model for Graph Learning and Inference.
LoG
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
2023 A* conf
Global Explainability of GNNs via Logic Combination of Learned Concepts.
ICLR
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2022 — conf
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives.
WASSA@ACL
Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi
2022 J jnl
Explaining the Explainers in Graph Neural Networks: a Comparative Study.
CoRR
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
2022 J jnl
Global Explainability of GNNs via Logic Combination of Learned Concepts.
CoRR
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2022 B conf
Multi-source Multi-domain Sentiment Analysis with BERT-based Models.
LREC
Gabriel Roccabruna, Steve Azzolin, Giuseppe Riccardi