10 citations · 10 across the 6 of their papers we have counts for
6 papers
On generalizing the Van der Waerden theorem to some symmetric functions
Arie Bialostocki, Vladyslav Oles
Let be positive integers and , where is the ring of integers modulo . We almost complete providing the answer to the following problem,…
Computing the Gromov--Hausdorff distance using gradient methods
Vladyslav Oles
The Gromov--Hausdorff distance measures the difference in shape between metric spaces and poses a notoriously difficult problem in combinatorial optimization. We introduce its quad…
Lipschitz (non-)equivalence of the Gromov--Hausdorff distances, including on ultrametric spaces
Vladyslav Oles, Kevin R. Vixie
The Gromov--Hausdorff distance measures the difference in shape between compact metric spaces. While even approximating the distance up to any practical factor poses an NP-hard pro…
Training-free hyperparameter optimization of neural networks for electronic structures in matter
Lenz Fiedler, Nils Hoffmann, Parvez Mohammed +6
A myriad of phenomena in materials science and chemistry rely on quantum-level simulations of the electronic structure in matter. While moving to larger length and time scales has…
BoolSi: a tool for distributed simulations and analysis of Boolean networks
Vladyslav Oles, Anton Kukushkin
We present BoolSi, an open-source cross-platform command line tool for distributed simulations of deterministic Boolean networks with synchronous update. It uses MPI standard to su…
Efficient estimation of the modified Gromov-Hausdorff distance between unweighted graphs
Vladyslav Oles, Nathan Lemons, Alexander Panchenko
Gromov-Hausdorff distances measure shape difference between the objects representable as compact metric spaces, e.g. point clouds, manifolds, or graphs. Computing any Gromov-Hausdo…