Ekaterina Lobacheva
My research mainly focuses on understanding the properties of neural network training dynamics and how they affect learned data representations and model generalization. I am also interested in ensemble and model-averaging methods, properties of neural network loss landscape, and specifics of training dynamics and representation learning in various training paradigms, such as self-supervised, transfer, continuous, and online learning.