Here you can find a consolidated (a.k.a. slowly updated) list of my publications. A frequently updated (and possibly noisy) list of works is available on my Google Scholar profile.
Please find below a short list of highlight publications for my recent activity.
Cosenza, Emanuele; Valenti, Andrea; Bacciu, Davide
Graph-based Polyphonic Multitrack Music Generation Conference
Proceedings of the 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2023), 2023.
@conference{Cosenza2023,
title = {Graph-based Polyphonic Multitrack Music Generation},
author = {Emanuele Cosenza and Andrea Valenti and Davide Bacciu },
year = {2023},
date = {2023-08-19},
urldate = {2023-08-19},
booktitle = {Proceedings of the 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2023)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Valenti, Andrea; Berti, Stefano; Bacciu, Davide
Calliope - A Polyphonic Music Transformer Conference
Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 2021.
@conference{Valenti2021b,
title = {Calliope - A Polyphonic Music Transformer},
author = {Andrea Valenti and Stefano Berti and Davide Bacciu},
editor = {Michel Verleysen},
url = { The polyphonic nature of music makes the application of deep learning to music modelling a challenging task. On the other hand, the Transformer architecture seems to be a good fit for this kind of data. In this work, we present Calliope, a novel autoencoder model based on Transformers for the efficient modelling of multi-track sequences of polyphonic music. The experiments show that our model is able to improve the state of the art on musical sequence reconstruction and generation, with remarkably good results especially on long sequences. },
doi = {10.14428/esann/2021.ES2021-63},
year = {2021},
date = {2021-10-06},
urldate = {2021-10-06},
booktitle = {Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021)},
pages = {405-410},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Valenti, Andrea; Carta, Antonio; Bacciu, Davide
Learning a Latent Space of Style-Aware Music Representations by Adversarial Autoencoders Conference
Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020.
@conference{ecai2020,
title = { Learning a Latent Space of Style-Aware Music Representations by Adversarial Autoencoders},
author = {Andrea Valenti and Antonio Carta and Davide Bacciu},
url = {https://arxiv.org/abs/2001.05494},
year = {2020},
date = {2020-06-08},
booktitle = {Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
