Martino Ciaperoni

Scuola Normale Superiore · martino.ciaperoni@sns.it

phdDefense.jpeg

Ufficio 2 (primo piano)

Via Roma 3

Pisa, Italia

I am a postdoctoral researcher at Scuola Normale Superiore.

I defended my doctoral thesis in January 2024 (Aalto University).

My research interests include:

  • Data mining, management and probabilistic methods.
  • Interpretable machine learning and trustworthy AI.
  • AI for science.
  • Transformer-based language models.

News

2026

  • Illume-4-Science ERC Proof of Concept grant awarded.
    The project focuses on transparent and responsible AI for biomedical research, including cancer research and drug development.
    Read the article

  • Paper accepted at IJCAI 2026: Efficient optimization of fixed-length paths, with N. Tziavelis and P. Karras.

  • Paper accepted at KDD 2026, AI4Sciences track: Explainable AI for cancer drug response prediction: beyond univariate feature attributions, with M. Lalli, S. Piaggesi, M. Varisco, F. Carli, R. Guidotti, D. Pedreschi, F. Raimondi, and F. Giannotti.

  • Paper accepted at ECML PKDD 2026: Virgil: Navigating Explainability for Transformer-based Language Models, with S. Kutluk, B. Muscato, M. Marchiori Manerba and F. Giannotti.

selected publications

  1. Efficient exploration of the rashomon set of rule-set models
    Martino Ciaperoni, Han Xiao , and Aristides Gionis
    In Proceedings Of The 30th ACM SIGKDD Conference On Knowledge Discovery And Data Mining , 2024
  2. Relevance of temporal cores for epidemic spread in temporal networks
    Martino Ciaperoni, Edoardo Galimberti , Francesco Bonchi , and 3 more authors
    Scientific reports, 2020
  3. Concise and interpretable multi-label rule sets
    Martino Ciaperoni, Han Xiao , and Aristides Gionis
    Knowledge and Information Systems, 2023
  4. Sample and Expand: Discovering Low-Rank Submatrices With Quality Guarantees
    Martino Ciaperoni, Aristides Gionis , and Heikki Mannila
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases , 2025
  5. The Hadamard decomposition problem
    Martino Ciaperoni, Aristides Gionis , and Heikki Mannila
    Data Mining and Knowledge Discovery, 2024
  6. Khatri-Rao Clustering for Data Summarization
    Martino Ciaperoni, Collin Leiber , Aristides Gionis , and 1 more author
    EDBT, 2026