I am honoured that Università di Pisa has chosen me for the highlights of the Researcher of the Month for September 2019.
Author Archives: DAVIDE BACCIU
New accepted papers
A bunch of new papers on deep learning for graphs and neural language processing has just been accepted for publication. Check them out!
Internship @Stanford
Good luck to Alessio Gravina who is starting an intership at Stanford University for his M.Sc. project, co-supervised by me and Corrado Priami as part of the Spark program.
Special session on tensor methods for deep learning @ESANN2020
I am co-organizing with Danilo Mandic a special session on “Tensor Decompositions in Deep Learning” at ESANN 2020.
We welcome solid contributions and preliminary relevant results showing potential, limitations and challenges of new ideas related to the use of tensor decompositions in deep learning, neural networks, and machine learning at large.
Deadline for paper submission: 18 November 2019.
Prospective contributors/participants can contact me (or another co-organizer) for details.
Organized by Davide Bacciu (University of Pisa,Italy), Danilo Mandic (Imperial College, UK).
New Graduates
Congratulations to Luigi di Sotto and Stefan Daniel Motoc for having completed their M.Sc. and B.Sc. in Computer Science with a final project on deep learning topics. Luigi discussed a novel pooling mechanism for graph convolutional networks. Stefan proposed a thorough analysis of the latent space of MusAE, our deep adversarial autoencoder for music generation.
Upcoming seminar on AI and arts
I will be delivering a talk on computational creativity through neural networks this week at the Museo degli Strumenti del Calcolo in Pisa. More info on the seminar and on the logistics in the following (in Italian I am afraid).
Creatività Artificiale: reti neurali, arte e probabilità
Mercoledì 29 maggio, ore 17:00
Museo degli Strumenti per il Calcolo, Pisa, 29 Maggio 2019
L’intelligenza artificiale può cimentarsi con una prerogativa così fortemente umana come la creatività artistica? La conferenza racconterà come le reti neurali profonde possano essere utilizzate per generare lavori artistici che, in alcuni casi, sono indistinguibili da opere dell’ingegno umano. Spiegheremo poi come la generazione di un’opera d’arte artificiale sia frutto di un processo matematico basato sulla statistica.
First graduate of the AI Curriculum
Congratulations to my student Vlad Pandelea who is hitting the University headline news as first graduate (cum laude!) of the Artificial Intelligence curriculum here at the Computer Science Department.
New M.Sc. Graduates!
Congratulations to Diego Giorgini and to Vlad Pandelea for having succesfully defended their theses on a multiscale recurrent neural memory and on audio-augmented dialogue systems.
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:
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!!