I am Ksenia, a research scientist at DeepMind. In the past year I have been involved in the work on Imagen 3. My broad research interests are in embodied AI.

Biography

At DeepMind, currently I am part of team REAL (Robotics, Embodied Intelligence, and Lifelong learning). In the past year I was working in Generative Media team on Imagen 3 model. Prior to this, I was in Machine Learning team led by Nando de Freitas.

I completed my PhD at EPFL's CVLab in January 2019, where I was supervised by Prof. Pascal Fua and Prof. Raphael Sznitman. In autumn 2017 during my internship at Google Research in Zurich I had a chance to work with Vittorio Ferrari and Jasper Uijlings.

I obtained my M.Sc. degree in Algorithms and Machine Learning from University of Helsinki. During that time, I also worked as a research assistant in the CoSCo group at HIIT. Before, I studied in Russia at the Higher School of Economics in the faculty of Business Informatics and Applied Mathematics.

Current research

I am motivated by the challenges of embodies intelligence. Recently, I was involved in building text-to-image model Imagen 3. In the pas I also worked on various aspects of applying Reinforcement Learning to real-world problems, including offline reinforcement learning, reward learning and policy evaluation. During my PhD I worked on active learning with a focus on meta-learning and applications in Computer Vision.

News

October, 2024: Image generation with Imagen 3 is now available to all Gemini users around the world!

May, 2024: Our former intern Gianluca Scarpellini presented an article Pi2vec: Policy Representation with Successor Features at ICLR 2024!

Ksenia Konyushkova