Dr Grigorios Chrysos

Research Interests:

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

 

Biography

Grigorios is currently an Assistant Professor at University of Wisconsin-Madison, USA. He 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.

Publications with LIONS

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates

A. Afzal; G. Chrysos; V. Cevher; M. Shoaran 

2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations

J. S. Deschenaux; I. Krawczuk; G. Chrysos; V. Cevher 

2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.

Revisiting Character-level Adversarial Attacks for Language Models

E. Abad Rocamora; Y. Wu; F. Liu; G. Chrysos; V. Cevher 

2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.

Robust NAS under adversarial training: benchmark, theory, and beyond

Y. Wu; F. Liu; C-J. Simon-Gabriel; G. Chrysos; V. Cevher 

2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.

Efficient local linearity regularization to overcome catastrophic overfitting

E. Abad Rocamora; F. Liu; G. Chrysos; P. M. Olmos; V. Cevher 

2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.

Contact

e-mail address: Grigorios Chrysos


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