Daniil Merkulov
Junior Research Scientist
Research Center in Artificial Intelligence in the Direction of Optimization of Management Decisions to Reduce Carbon Footprint
Research Center in Artificial Intelligence in the Direction of Optimization of Management Decisions to Reduce Carbon Footprint
Professor: Ivan Oseledets
Graduated from: MIPT, Skoltech
Research interests: Stochastic Optimization, Machine Learning, Deep Learning
Thesis title: Matrix methods in stochastic optimization
Publications: Merkulov, D., & Oseledets, I. (2019). Empirical study of extreme overfitting points of neural networks. arXiv preprint arXiv:1906.06295.
Conferences: “From splitting scheme to stochastic optimization” D.Merkulov, I. Oseledets, 5th International Conference on Matrix Methods in Mathematics and applications (MMMA-2019)
Developing theoretical foundations of Deep Neural Networks and their applications