My name is Georgios Smyrnis, and I am a second year PhD student at The University of Texas at Austin. I am supervised by Professor Alexandros Dimakis.
My work lies in the intersection of theoretical and applied aspects of machine learning. My most recent topics of interest include contrastive learning and inverse problems. I have also worked on the application of tropical algebra and geometry in the study of neural networks.