Daniele Castellana

Application of Adaptive Multilevel Splitting to High-Dimensional Dynamical Systems

Fred Wubs, Sven Baars, Daniele Castellana, 2020, J. Comput. Phys..

Bayesian mixtures of Hidden Tree Markov Models for structured data clustering

Davide Bacciu, Daniele Castellana, D. Bacciu, 2019, Neurocomputing.

Mixture of Hidden Markov Model as Tree Encoder

Davide Bacciu, Daniele Castellana, 2018, ESANN.

Improvements to the use of the Trajectory-Adaptive Multilevel Sampling algorithm for the study of rare events

Daniele Castellana, Henk A. Dijkstra, Pascal Wang, 2020, Nonlinear Processes in Geophysics.

Learning Tree Distributions by Hidden Markov Models pdf

Davide Bacciu, Daniele Castellana, 2018, ArXiv.

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models

Davide Bacciu, Daniele Castellana, D. Bacciu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data

Davide Bacciu, Daniele Castellana, 2020, ESANN.

Generalising Recursive Neural Models by Tensor Decomposition

Davide Bacciu, Daniele Castellana, D. Bacciu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Learning from Non-Binary Constituency Trees via Tensor Decomposition pdf

Davide Bacciu, Daniele Castellana, 2020, COLING.

A tensor framework for learning in structured domains

Davide Bacciu, Daniele Castellana, D. Bacciu, 2021, Neurocomputing.