Daniele Castellana

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Tensor Decomposition

Structured Data

Top Venues

Publications

Daniele Castellana
Lying Graph Convolution: Learning to Lie for Node Classification Tasks. CoRR (2024)
Daniele Castellana, Federico Errica
Investigating the Interplay between Features and Structures in Graph Learning. CoRR (2023)
Daniele Castellana, Davide Bacciu
A tensor framework for learning in structured domains. Neurocomputing 470 (2022)
Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli
The Infinite Contextual Graph Markov Model. ICML (2022)
Daniele Castellana, Davide Bacciu
Learning from Non-Binary Constituency Trees via Tensor Decomposition. CoRR (2020)
Daniele Castellana, Davide Bacciu
Generalising Recursive Neural Models by Tensor Decomposition. CoRR (2020)
Daniele Castellana, Davide Bacciu
Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data. ESANN (2020)
Daniele Castellana, Davide Bacciu
Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data. CoRR (2020)
Daniele Castellana, Davide Bacciu
Generalising Recursive Neural Models by Tensor Decomposition. IJCNN (2020)
Daniele Castellana, Davide Bacciu
Learning from Non-Binary Constituency Trees via Tensor Decomposition. COLING (2020)
Daniele Castellana, Davide Bacciu
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. IJCNN (2019)
Daniele Castellana, Davide Bacciu
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. CoRR (2019)
Davide Bacciu, Daniele Castellana
Bayesian mixtures of Hidden Tree Markov Models for structured data clustering. Neurocomputing 342 (2019)
Davide Bacciu, Daniele Castellana
Mixture of Hidden Markov Model as Tree Encoder. ESANN (2018)
Davide Bacciu, Daniele Castellana
Learning Tree Distributions by Hidden Markov Models. CoRR (2018)