11 citations · 11 across the 3 of their papers we have counts for
3 papers
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
Emilian Postolache, Giorgio Mariani, Luca Cosmo +2
Multi-Source Diffusion Models (MSDM) allow for compositional musical generation tasks: generating a set of coherent sources, creating accompaniments, and performing source separati…
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
Alessandro Bicciato, Luca Cosmo, Giorgia Minello +2
Graph neural networks are increasingly becoming the framework of choice for graph-based machine learning. In this paper, we propose a new graph neural network architecture that sub…
Latent Autoregressive Source Separation
Emilian Postolache, Giorgio Mariani, Michele Mancusi +3
Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task performance. In the continuous domain, a key…