Dr Grigorios Chrysos (2020-2024)

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

Certified Robustness Under Bounded Levenshtein Distance

E. Abad Rocamora; G. Chrysos; V. Cevher 

2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.

Hadamard product in deep learning: Introduction, Advances and Challenges

G. G. Chrysos; Y. Wu; R. Pascanu; P. Torr; V. Cevher 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025. DOI : 10.1109/TPAMI.2025.3560423.

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.

Learning to Remove Cuts in Integer Linear Programming

P. Puigdemont; E. P. Skoulakis; G. Chrysos; V. Cevher 

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

Contact

e-mail address: Grigorios Chrysos


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