| Aug 13, 2026 | 🏅 Honored to be recognized among the best reviewers at KDD 2026 Research track. |
| Aug 10, 2026 | 🧑🏻🏫 Excited to present our poster at the Knowledge Discovery and Data Mining conference (KDD 2026) in Jeju 🇰🇷🗿. |
| May 21, 2026 | 🎙️ Glad to present the Illume-4-Science ERC PoC at the Kick-off event at Scuola Normale Superiore. Full program here |
| May 16, 2026 | 🎉 New paper accepted at KDD 2026, AI4Sciences track: Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions, with M. Ciaperoni, M. Lalli, M. Varisco, F. Carli, R. Guidotti, D. Pedreschi, F. Raimondi, and F. Giannotti. |
| Jan 27, 2026 | 🎉 Illume-4-Science ERC Proof of Concept granted funding. The project focuses on explainable and trustworthy AI for accelerating scientific discovery in biomedical research, with applications in cancer biomedicine. Read the article |
| Nov 15, 2025 | 🏅 Honored to be recognized with the Outstanding Poster Award at ICDM 2025 🎉. |
| Nov 13, 2025 | 🎙️ Glad to present our paper at the International Conference on Data Mining (ICDM 2025) in Washington DC 🇺🇲. |
| Aug 25, 2025 | 🎉 New paper accepted at ICDM 2025: Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding, with R. Guidotti, F. Giannotti, and D. Pedreschi. |
| Jun 26, 2025 | 🎉 New paper accepted at TMLR: Disentangled and Self-Explainable Node Representation Learning, with A. Panisson, and M. Khosla. |
| Nov 05, 2024 | 🎉 New paper accepted at IEEE Access: Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space, with F. Bodria, R. Guidotti, F. Giannotti, and D. Pedreschi. |
| Jul 09, 2024 | 🎉 New paper accepted at IEEE TKDE: DINE: Dimensional Interpretability of Node Embeddings, with M. Khosla, A. Panisson, and A. Anand. |