Monthly Archives: March 2019

Paper accepted @IJCNN 2019

A paper on Bayesian tensor factorization for efficient processing of structured data has just been accepted for IJCNN 2019. Check it out:

Daniele Castellana, Davide Bacciu: Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019I) , IEEE, 2019.

New ML graduates

Congratulations to two of my students who succesfully defended their B.Sc. and M.Sc. theses with two excellent ML projects.

Lorenzo Marsicano developed microESN, a library for the development of recurrent neural networks in embedded systems with minimal memory and computational resources.

Andrea Valenti designed a new deep learning model for MIDI music generation, beautifully named MusAE, for Music Adversarial autoEncoder (and of course to honour Greek mythology).

Congratulations!!