Daniele Castellana

PhD in Computer Science

University of Pisa

About

I am a PostDoc at University of Pisa. My interests are mainly related to Machine Learning, with emphasis on tensor decompositions in structured domains. Currently, I am a member of the Computational Intelligence and Machine Learning group and Pervasive AI lab.

During the MSc, I had the opportunity to spend one year at the University College of London (UCL) as an Erasmus+ student. There, I attended Machine Learning MSc courses.

I also like to participate in Competitive Programming contests. In 2011, I won a silver medal at the OII, an italian competitive programming contest for high school students.

Interests

Machine Learning
Structured Data
Tensor Decompositions

Education

PhD in Computer Science, 2017 - 2021

University of Pisa
Msc in Computer Science, 2014 - 2017

University of Pisa
BSc in Computer Science, 2011 - 2014

University of Pisa

Selected Publications

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Daniele Castellana, Davide Bacciu. A tensor framework for learning in structured domains. Neurocomputing, 2021.

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Daniele Castellana. A Tensor Framework for Learning in Structured Domains. PhD Thesis, 2021.

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Daniele Castellana, Davide Bacciu. Learning from Non-Binary Constituency Trees via Tensor Decomposition. COLING, 2020.

Preprint PDF Code

Daniele Castellana, Davide Bacciu. Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data. ESANN, 2020.

Preprint PDF Code

Daniele Castellana, Davide Bacciu. Generalising Recursive Neural Models by Tensor Decomposition. IJCNN, 2020.

Preprint PDF Code Suppl.

Daniele Castellana, Davide Bacciu. Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. IJCNN, 2019.

Preprint PDF Code

Davide Bacciu, Daniele Castellana. Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering. Neurocomputing, 2019.

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Recent Talks

A Tensor Framework for Learning in Structured Domains

Apr 20, 2022 15:00

Mathematics for Data Science, Artificial Intelligence and Machine Learning

PDF Video

Teaching

Teaching assistant:

Informatica, BSc Physics, a.y. 2017-2018
Programmazione 1, BSc Computer Science, a.y. 2018-2019
Programmazione 1, BSc Computer Science, a.y. 2019-2020
Laboratorio 1, BSc Computer Science, a.y. 2020-2021

Guest Lectures:

Sampling Methods, Intelligent Systems for Pattern Recognition, MsC Computer Science

Contact

daniele.castellana (at) di.unipi.it
+39 050 - 2212730
Room 372 - Dept. of Computer Science - Largo B. Pontecorvo, 3 - Pisa - Italy