Grigorios Chrysos
Fields of expertise
- polynomial neural networks
- tensor decompositions
- generative models
- robustness
Awards
Publications
Selected publications
| Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher NeurIPS'22 |
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study |
| Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher NeurIPS'22 |
Generalization Properties of NAS under Activation and Skip Connection Search |
| Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher NeurIPS'22 |
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initlization) |
| Elias Abad Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos and Volkan Cevher NeurIPS'22 |
Sound and Complete Verification of Polynomial Networks |
| 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 |
| Grigorios G Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou IEEE Transactions in PAMI 2021 |
Deep Polynomial Neural Networks |
Other publications
Older publications
- Markos Georgopoulos, Grigorios G Chrysos, Maja Pantic, Yannis Panagakis, "Multilinear Latent Conditioning for Generating Unseen Attribute Combinations", ICML'20, Link.
Grigorios G Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou, " Π−nets: Deep Polynomial Neural Networks", CVPR'20, Link.
Yannis Panagakis, Jean Kossaifi, Grigorios G Chrysos, James Oldfield, Mihalis A Nicolaou, Anima Anandkumar, Stefanos Zafeiriou, "Tensor Methods in Computer Vision and Deep Learning", Proceedings of the IEEE 2021, Link.