477 citations · 819 across the 59 of their papers we have counts for
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PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
Eleonora Grassucci, Aston Zhang, Danilo Comminiello
Hypercomplex neural networks have proven to reduce the overall number of parameters while ensuring valuable performance by leveraging the properties of Clifford algebras. Recently,…
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili +11
The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancemen…
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane +3
Nonlinear models are known to provide excellent performance in real-world applications that often operate in non-ideal conditions. However, such applications often require online p…
Quaternion Generative Adversarial Networks
Eleonora Grassucci, Edoardo Cicero, Danilo Comminiello
Latest Generative Adversarial Networks (GANs) are gathering outstanding results through a large-scale training, thus employing models composed of millions of parameters requiring e…