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Daniele Castellana
Daniele Castellana
Research Fellow at University of Florence
Bestätigte E-Mail-Adresse bei unifi.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Bayesian mixtures of hidden tree markov models for structured data clustering
D Bacciu, D Castellana
Neurocomputing 342, 49-59, 2019
92019
The Infinite Contextual Graph Markov Model
D Castellana, F Errica, D Bacciu, A Micheli
International Conference on Machine Learning, 2721-2737, 2022
72022
Bayesian tensor factorisation for bottom-up hidden tree markov models
D Castellana, D Bacciu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
72019
Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data
D Castellana, D Bacciu
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2020
52020
A Tensor Framework for Learning in Structured Domains
D Castellana, D Bacciu
Neurocomputing 470, 405-426, 2022
42022
Learning from Non-Binary Constituency Trees via Tensor Decomposition
D Castellana, D Bacciu
Proceedings of the 28th International Conference on Computational …, 2020
42020
Generalising recursive neural models by tensor decomposition
D Castellana, D Bacciu
2020 International Joint Conference on Neural Networks (IJCNN), 2020
42020
Mixture of hidden markov models as tree encoder
D Bacciu, D Castellana
Proc. of the European Symposium on Artificial Neural Networks, Computational …, 2018
42018
Learning Tree Distributions by Hidden Markov Models
D Bacciu, D Castellana
arXiv preprint arXiv:1805.12372, 2018
32018
Investigating the Interplay between Features and Structures in Graph Learning
D Castellana, F Errica
20th International Workshop on Mining and Learning with Graphs, 2023
12023
Lying Graph Convolution: Learning to Lie for Node Classification Tasks
D Castellana
arXiv preprint arXiv:2405.01247, 2024
2024
CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning
D Castellana, A Carta, D Bacciu
First ContinualAI Unconference-Preregistration Track, 2024
2024
A Tensor Framework for Learning in Structured Domains
D Castellana
Università di Pisa, 2021
2021
Learning Tree Transducers: a coupled Hidden Markov Tree Approach
D CASTELLANA
Università di Pisa, 2017
2017
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