Andreas Sochopoulos

Hello! My name is Andreas, and I am currently a PhD student at the University of Edinburgh (UoE), supported by Honda Research Institute Europe (HRI-EU), and advised by Sethu Vijayakumar (UoE), Michael Gienger (HRI-EU), and Nikolay Malkin (UoE).

My research focuses on imitation learning using continuous-time generative models, such as diffusion and flow models. So far, I have worked on accelerating the inference of flow models for action generation without additional training overhead, as well as on guaranteeing constrained solutions for neural ODEs. I am particularly interested in ways to make diffusion/flow-based policies safe, fast, and robust when training with limited demonstrations.

I am currently exploring the use of diffusion samplers to achieve these goals. If you are interested in my research or would like to discuss related topics, feel free to reach out!