I am a third year Computer Science Ph.D. student at UT Austin, supervised by Prof. Alexandros Dimakis.

I am doing research on deep generative models. My main goal is to explore the theoretical and practical limits of solving inverse problems using deep generative priors. I am interested in improving many aspects of deep generative models that could be useful for achieving that goal, such as fairness, high-quality sample generation, out-of-distribution generation, controllable synthesis, etc. Application wise, I hope that my research on inverse problems with generative priors will prove useful to important real-world applications, e.g. MRI scans.

During Summer 2022, I interned at Google Research with Peyman Milanfar, Mauricio Delbracio and Hossein Talebi. Prior to this internship, I worked as a Research Intern at Google with Vincent Chu and Abhishek Kumar. Before joining the Ph.D., I received my undergraduate degree in ECE from the National Technical University of Athens (NTUA). During my undergraduate studies, I worked as a Machine Learning Researcher in ExplosionAI and I successfully completed Google Summer of Code 2018.

News

• [New paper]: Soft Diffusion: Score Matching for General Corruptions.
• [Paper acceptance]: Discovering the Hidden Vocabulary of DALLE-2 got accepted to the NeurIPS 2022 Workshop on Score-Based Methods.
• [Paper acceptance]: Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve, got accepted to NeurIPS 2022.
• [Paper acceptance]: Our paper, Score-Guided Intermediate Layer Optimization, got accepted to ICML 2022.

Publications