steve.azzolin {at} unitn {dot} it
Ciao 👋
My name is Steve Azzolin and I'm currently an ELLIS PhD student co-supervised by Andrea Passerini (University of Trento), Bruno Lepri (FBK), and Pietro Liò (University of Cambridge). Starting from 2024, I'm also an organiser of the LoG Conference.
My PhD is focusing on studying how to make machine learning algorithms more reliable.
INTERESTS: Graph Neural Networks; Representation Learning; Explainability
EDUCATION: BSc in Computer Science; MSc in Artificial Intelligence Systems
Spotlights
AIT Journal Club
Check the website to stay up-to-date with the last events
News
Let's stay in touch on X
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Joined the organisation team of LoG Conference |
Curr. |
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Organizing the Trento LoG meetup |
11/27-11/30 2023 |
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Hand-on tutorial on XAI for GNNS @ TuringInstitute |
11/16/2023 |
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Starting of my PhD |
11/01/2023 |
Publications
For an up-to-date list, check out my Scholar
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Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians O. Zaghen, A. Longa, , L. Telyatnikov, P. Liò, A. Passerini [GRaM Workshop @ ICML 2024] |
2024 |
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Explaining the Explainers in Graph Neural Networks: a Comparative Study A. Longa, , G. Santin, G. Cencetti, P. Liò, B. Lepri, A. Passerini [ACM Computing Surveys] |
2024 |
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A Simple Latent Variable Model for Graph Learning and Inference M. Jaeger, A. Longa, , O. Schulte, A. Passerini [LOG2023] |
2023 |
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Global Explainability of GNNs via Logic Combination of Learned Concepts , A. Longa, P. Barbiero, P. Liò, A. Passerini [ICLR2023] |
2023 |
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Multi-source Multi-domain Sentiment Analysis with BERT-based Models G. Roccaruna, , G. Riccardi [LREC 2022] |
2022 |
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Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives S.M. Mousavi, G. Roccabruna, A. Tammewar, , G. Riccardi [WASSA ACL Workshop] |
2022 |
Talks
XAI4GNNs Hands-on Tutorial
Hands-on Tutorial of XAI4GNNs held at the Turing Institute.
Global Explainability of GNNs via Logic Combination of Learned Concepts
Shorter version of my prev. Cambridge Talk held at the AI Trento Journal Club.
Global Explainability of GNNs via Logic Combination of Learned Concepts
Presented our latest work on Global Explainability of GNNs via Logic Combination of Learned Concepts at the University of Cambridge as part of the Artificial Intelligence Research Group Talks series.