37 citations · 146 across the 33 of their papers we have counts for
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cs.LG2021★ 37 cited
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,…
cs.LG2021★ 35 cited
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…