Anastasis Kratsios
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Assistant Professor
HH 416
(905) 525 9140 ext. 27304
(905) 522-0935
...

I develop and study universal deep learning models capable of leveraging geometric structures in mathematical finance and data science problems.

Financial Mathematics, Geometric Deep Learning, Foundations of Artificial Intelligence

2022/2023
MFM 703
MFM 713

A. Kratsios, L. Papon: Universal Approximation Theorems for Differentiable Geometric Deep Learning, JMLR - Journal of Machine Learning Research, 2022.
A. Kratsios, B. Zamanlooy, I. Dokmanic, T. Liu: Universal Approximation Under Constraints is Possible with Transformers, ICLR - International Conference on Learning Representations, 2022 Spotlight.
A. Kratsios and C. Hyndman: NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation, JMLR - Journal of Machine Learning Research - Volume 22, 2021.

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McMaster University - Faculty of Science | Math & Stats