1 citations · 1 across the 4 of their papers we have counts for
4 papers
Symbolic regression for defect interactions in 2D materials
Mikhail Lazarev, Andrey Ustyuzhanin
Machine learning models have become firmly established across all scientific fields. Extracting features from data and making inferences based on them with neural network models of…
Cardiac mortality prediction in patients undergoing PCI based on real and synthetic data
Daniil Burakov, Ivan Petrov, Dmitrii Khelimskii +2
Patient status, angiographic and procedural characteristics encode crucial signals for predicting long-term outcomes after percutaneous coronary intervention (PCI). The aim of the…
MiAD: Mirage Atom Diffusion for De Novo Crystal Generation
Andrey Okhotin, Maksim Nakhodnov, Nikita Kazeev +3
In recent years, diffusion-based models have demonstrated exceptional performance in searching for simultaneously stable, unique, and novel (S.U.N.) crystalline materials. However,…
Symbolic expression generation via Variational Auto-Encoder
Sergei Popov, Mikhail Lazarev, Vladislav Belavin +2
There are many problems in physics, biology, and other natural sciences in which symbolic regression can provide valuable insights and discover new laws of nature. A widespread Dee…