2 citations · 7 across the 20 of their papers we have counts for
5 papers · 1 filter
Algorithms for Euclidean-regularised Optimal Transport
Dmitry A. Pasechnyuk, Michael Persiianov, Pavel Dvurechensky +1
This paper addresses the Optimal Transport problem, which is regularized by the square of Euclidean -norm. It offers theoretical guarantees regarding the iteration complexi…
Primal-Dual Gradient Methods for Searching Network Equilibria in Combined Models with Nested Choice Structure and Capacity Constraints
Meruza Kubentayeva, Demyan Yarmoshik, Mikhail Persiianov +8
We consider a network equilibrium model (i.e. a combined model), which was proposed as an alternative to the classic four-step approach for travel forecasting in transportation net…
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
Kirill Brilliantov, Fedor Pavutnitskiy, Dmitry Pasechnyuk +1
Computing homotopy groups of spheres has long been a fundamental objective in algebraic topology. Various theoretical and algorithmic approaches have been developed to tackle this…
A randomised non-descent method for global optimisation
Dmitry A. Pasechnyuk, Alexander Gornov
This paper proposes novel algorithm for non-convex multimodal constrained optimisation problems. It is based on sequential solving restrictions of problem to sections of feasible s…
Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks
Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev +1
Solving a problem with a deep learning model requires researchers to optimize the loss function with a certain optimization method. The research community has developed more than a…