Laboratory of Computational Intelligence

Research focuses on the development breakthrough numerical techniques (matrix and tensor methods) for solving a broad range of high-dimensional problems and their combination with deep learning in order to reduce computational complexity and improve robustness of such algorithms.

Ivan

Oseledets

Full Professor

Head of the Laboratory

deliverables

We will provide new insights into the theory of AI and based on it develop more accurate, robust and fast models for different applications

improving existing models, including GANs, unsupervised and representation learning

construction of methods of representation learning in the small-data regime

construction of new architectures of deep neural networks

dataset dimensionality reduction

study of robustness and expressive power of deep neural network architectures

physical-based machine learning and data-driven modelling of real world systems

recommender systems

contacts

i.oseledets@skoltech.ru