Daniele Castellana

According to our database, Daniele Castellana authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Investigating the Interplay between Features and Structures in Graph Learning.

Daniele Castellana, Federico Errica

CoRR, 2023

2022

A tensor framework for learning in structured domains.

Daniele Castellana, Davide Bacciu

Neurocomputing, 2022

The Infinite Contextual Graph Markov Model.

Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli

Proceedings of the International Conference on Machine Learning, 2022

2021

A Tensor Framework for Learning in Structured Domains.

Daniele Castellana

PhD thesis, 2021

2020

Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data.

Daniele Castellana, Davide Bacciu

CoRR, 2020

Generalising Recursive Neural Models by Tensor Decomposition.

Daniele Castellana, Davide Bacciu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data.

Daniele Castellana, Davide Bacciu

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Learning from Non-Binary Constituency Trees via Tensor Decomposition.

Daniele Castellana, Davide Bacciu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Bayesian mixtures of Hidden Tree Markov Models for structured data clustering.

Davide Bacciu, Daniele Castellana

Neurocomputing, 2019

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models.

Daniele Castellana, Davide Bacciu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Learning Tree Distributions by Hidden Markov Models.

Davide Bacciu, Daniele Castellana

CoRR, 2018

Mixture of Hidden Markov Model as Tree Encoder.

Davide Bacciu, Daniele Castellana

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018