activity
20172022
collaborators

6 papers

cs.LG2022

Inference and Optimization for Engineering and Physical Systems

Mikhail Krechetov

The central object of this PhD thesis is known under different names in the fields of computer science and statistical mechanics. In computer science, it is called the Maximum Cut…

cs.SI2021

Game of Life on Graphs

Mikhail Krechetov

We consider a specific graph dynamical system inspired by the famous Conway's Game of Life in this work. We study the properties of the dynamical system on different graphs and int…

cs.SI2021

Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming

Mikhail Krechetov, Amir Mohammad Esmaieeli Sikaroudi, Alon Efrat +2

Hard-to-predict bursts of COVID-19 pandemic revealed significance of statistical modeling which would resolve spatio-temporal correlations over geographical areas, for example spre…

quant-ph2020

Riemannian geometry and automatic differentiation for optimization problems of quantum physics and quantum technologies

Ilia A. Luchnikov, Mikhail E. Krechetov, Sergey N. Filippov

Optimization with constraints is a typical problem in quantum physics and quantum information science that becomes especially challenging for high-dimensional systems and complex a…

math.OC2018

Entropy Penalized Semidefinite Programming

Mikhail Krechetov, Jakub Marecek, Yury Maximov +1

Low-rank methods for semidefinite programming (SDP) have gained a lot of interest recently, especially in machine learning applications. Their analysis often involves determinant-b…

math.OC2017

Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization

Roman Pogodin, Mikhail Krechetov, Yury Maximov

We propose a method for low-rank semidefinite programming in application to the semidefinite relaxation of unconstrained binary quadratic problems. The method improves an existing…