Daniele Castellana

Research Fellow (RTD-A) in Machine Learning

Department of Statistics, Informatics and Application, University of Florence
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Research interests: My research focuses on Machine Learning, with emphasis on structured data, tensor teory, and Bayesian approaches. Have a look to my PhD thesis!

Research group: Currently, I am member of Florence Data Science. At the University of Pisa, I was member of CIML group and Pervasive AI lab.

Other: I like participating in competitive programming contests and playing soccer.

News

Jan 1, 2023 Are you interested in Machine Learning? Check out the opportunities page!

Recent publications

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  1. Journal
    BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling
    Daniele Castellana, and Filippo Maria Bianchi
    Journal of Machine Learning Research, Oct 2025
    Under review
  2. Journal
    CD-IMM: A Bayesian Non-parametric Classifier for Continual Learning with Class Repetitions
    Daniele Castellana, and Antonio Carta
    Neural Networks, Oct 2025
    Under review
  3. Journal
    Bayesian Non-Parametric Anomaly Detection for Autonomous Spacecraft
    Daniele Castellana, Geremia Pompei, Lorenzo Allegrini, and 5 more authors
    Engineering Applications of Artificial Intelligence, Oct 2025
    Under review
  4. Journal
    Predictive modeling of biogeographical ancestry using a novel SNP panel and supervised learning approaches
    Cosimo Grazzini, Giorgia Spera, Stefania Morelli, and 5 more authors
    Expert Systems with Applications, Sep 2025
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  5. Conference
    Generate Polyphonic Music with Multivariate Masked Autoregressive Flow
    Massimiliano Sirgiovanni, and Daniele Castellana
    In 2025 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2025