Daniele Castellana

Orcid: 0000-0002-7159-2272

According to our database1, Daniele Castellana authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Lying Graph Convolution: Learning to Lie for Node Classification Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Investigating the Interplay between Features and Structures in Graph Learning.
CoRR, 2023

2022
A tensor framework for learning in structured domains.
Neurocomputing, 2022

The Infinite Contextual Graph Markov Model.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Tensor Framework for Learning in Structured Domains.
PhD thesis, 2021

2020
Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data.
CoRR, 2020

Generalising Recursive Neural Models by Tensor Decomposition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Learning from Non-Binary Constituency Trees via Tensor Decomposition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Bayesian mixtures of Hidden Tree Markov Models for structured data clustering.
Neurocomputing, 2019

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Learning Tree Distributions by Hidden Markov Models.
CoRR, 2018

Mixture of Hidden Markov Model as Tree Encoder.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018


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