182 citations · 195 across the 8 of their papers we have counts for
5 papers · 1 filter
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos +2
Polynomial neural networks (PNNs) have been recently shown to be particularly effective at image generation and face recognition, where high-frequency information is critical. Prev…
Controlling the Complexity and Lipschitz Constant improves polynomial nets
Zhenyu Zhu, Fabian Latorre, Grigorios G Chrysos +1
While the class of Polynomial Nets demonstrates comparable performance to neural networks (NN), it currently has neither theoretical generalization characterization nor robustness…
CoPE: Conditional image generation using Polynomial Expansions
Grigorios G Chrysos, Markos Georgopoulos, Yannis Panagakis
Generative modeling has evolved to a notable field of machine learning. Deep polynomial neural networks (PNNs) have demonstrated impressive results in unsupervised image generation…
nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas +3
Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. Th…
Robust Conditional Generative Adversarial Networks
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Conditional generative adversarial networks (cGAN) have led to large improvements in the task of conditional image generation, which lies at the heart of computer vision. The major…