I am a Ph.D. candidate in deep learning supervised by Thomas Schön. My research can be split in two areas. The applied side revolves around medical problems, where we look at ECG recordings and try to improve the classification of medical conditions with deep models. The theoretical side focuses on understanding how specific deep models works. Specifically, I am interested in unsupervised and self-supervised learning methods.
For more information, check out my personal website dgedon.github.io.
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