Nikita Morozov
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Hello! I am a 2nd year MSc student at HSE University and Skoltech joint programme Math of Machine Learning, actively involved in research at Bayesian Methods Research Group under the supervision of Prof. Dmitry Vetrov. Currently, my research is focused on Generative Flow Networks (GFlowNets) and their connections to Reinforcement Learning. I am working towards creating new efficient GFlowNet training algorithms, as well as expanding the theoretical understanding of these models. Generally speaking, my research interests include generative modeling and probabilistic methods in deep learning.

I have also previously worked on Neural Radiance Fields and text-to-3D generative models with Kirill Struminsky, as well as worked on Domain Generalization for my Bachelor's thesis. Prior to joining Bayesian Methods Research Group, I was a software engineer intern at Yandex, where I worked on improving YTsaurus platform.

I have a background in competitive programming, you can find me on codeforces. Next September I will be participating in 2024 ICPC World Finals.

Email / CV / GitHub / Google Scholar / HSE webpage

 

Publications

  • Generative Flow Networks as Entropy-Regularized RL
    Daniil Tiapkin*, Nikita Morozov*, Alexey Naumov, Dmitry Vetrov
    arXiv / code
    AISTATS 2024 (Oral)

  • Differentiable Rendering with Reparameterized Volume Sampling
    Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry Vetrov, Kirill Struminsky
    arXiv / code
    AISTATS 2024
    Short version appeared in ICLR 2023 Workshop on Neural Fields

  • Weight Averaging Improves Knowledge Distillation under Domain Shift
    Valeriy Berezovskiy, Nikita Morozov
    arXiv / code
    ICCV 2023 Workshop on Out-of-Distribution Generalization in Computer Vision

Teaching

Teaching Fellow:

  • Machine Learning 1, HSE University. Fall 2022, 2023
  • Machine Learning 2, HSE University. Spring 2023, 2024
  • Introduction to Deep Learning, HSE University. Fall 2022, 2023

Teaching Assistant:

  • Machine Learning 1, HSE University. Fall 2021
  • Algebra, HSE University. Spring 2020
  • Algorithms and Data Structures, HSE University. 2019, 2020

Awards

  • International Collegiate Programming Contest (ICPC). 2023/2024
    21/276 place in Northern Eurasia Finals, advanced to World Finals
  • Ilya Segalovich Scholarship. 2021, 2023
    HSE University & Yandex scholarship for outstanding achievements in study and research
  • HSE Student Research Paper Competition. 2022
    Awardee in computer science category
  • HSE University Bachelor’s Degree with Distinction. 2022