I am an Assistant Professor and the head of Generative AI research group at Skoltech and a research scientist at AIRI. I obtained my PhD degree in Math & Physics in 2023 (scientific advisor - prof. E. Burnaev).
My main research field is generative modeling. I focus on developing novel algorithms for learning generative models based on the Optimal Transport and Schrodinger Bridges. I regularly publish my research at ML/AI conferences and journals. The list of my top publications (A* and Q1) and recent pre-prints is available here. The complete list of my works can be found in my Google Scholar profile or CV.
Contact: iamalexkorotin@gmail.com
PhD thesis defence, 2023
Federal Research Center "Computer Science and Control"
PhD studies in Computer Science, 2018-2022
Skolkovo Institute of Science and Technology (Skoltech)
MSc in Computer Science, 2016-2018
Higher School of Economics (HSE)
Yandex School of Data Analysis, 2013-2016
Yandex
BSc in Mathematics, 2012-2016
Higher School of Economics (HSE)
We propose a novel neural algorithm for the fundamental problem of computing the entropic optimal transport (EOT) plan between probability distributions which are accessible by samples.