Grigorios Chrysos
Fields of expertise
- polynomial neural networks
- tensor decompositions
- generative models
- robustness
Publications
Selected publications
| Zhenyu Zhu, Fabian Latorre, Grigorios G Chrysos, Volkan Cevher ICLR'22 |
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets |
| Moulik Choraria, Leello Tadesse Dadi, Grigorios G Chrysos, Julien Mairal, Volkan Cevher ICLR'22 |
The Spectral Bias of Polynomial Neural Networks |
| Grigorios G Chrysos, Markos Georgopoulos, Yannis Panagakis NeurIPS'21 |
Conditional Generation Using Polynomial Expansions |
| Yannis Panagakis, Jean Kossaifi, Grigorios G Chrysos, James Oldfield, Mihalis A Nicolaou, Anima Anandkumar, Stefanos Zafeiriou Proceedings of the IEEE |
Tensor Methods in Computer Vision and Deep Learning |
| Grigorios G Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou IEEE Transactions in PAMI 2021 |
Deep Polynomial Neural Networks |
| Grigorios G Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou CVPR'20 |
Π−nets: Deep Polynomial Neural Networks |
| Markos Georgopoulos, Grigorios G Chrysos, Maja Pantic, Yannis Panagakis ICML'20 |
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations |