Dr Grigorios Chrysos

Research Interests:

  • Polynomial neural networks
  • Tensor decomposition
  • Tensor analysis
  • Generative models
  • Machine learning



Grigorios obtained his master’s degree in Electrical, Electronic Engineering and Computer Science from the National Technical University of Athens in 2014. Sequentially, he pursued a PhD degree at Imperial College London. He was a post-doctoral researcher with the Laboratory for Information and Inference Systems at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is currently an Assistant Professor at University of Wisconsin-Madison, USA.

Publications with LIONS

Benign Overfitting in Deep Neural Networks under Lazy Training

Z. Zhu; F. Liu; G. Chrysos; F. Locatello; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

Federated Learning under Covariate Shifts with Generalization Guarantees

A. Ramezani-Kebrya; F. Liu; T. M. Pethick; G. Chrysos; V. Cevher 

Transactions on Machine Learning Research. 2023. num. 06.

Regularization of polynomial networks for image recognition

G. Chrysos; B. Wang; J. Deng; V. Cevher 

2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.

Revisiting adversarial training for the worst-performing class

T. M. Pethick; G. Chrysos; V. Cevher 

Transactions on Machine Learning Research. 2023. 

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Y. Wu; Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.


e-mail address: Grigorios Chrysos

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