Efficient estimation of a Gromov-Hausdorff distance between unweighted graphs. - Vladyslav Oles; Nathan Lemons; Alexander Panchenko (CoRR, 2019)

BoolSi: a tool for distributed simulations and analysis of Boolean networks. - Vladyslav Oles; Anton Kukushkin (CoRR, 2019)

Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. - Woong Shin; Vladyslav Oles; Ahmad Maroof Karimi; J. Austin Ellis; Feiyi Wang (SC, 2021)

Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. - Hao Lu 001; Michael A. Matheson; Vladyslav Oles; J. Austin Ellis; Wayne Joubert; Feiyi Wang (SC, 2022)

Lipschitz (non-)equivalence of the Gromov-Hausdorff distances, including on ultrametric spaces. - Vladyslav Oles; Kevin R. Vixie (CoRR, 2022)

Training-free hyperparameter optimization of neural networks for electronic structures in matter. - Lenz Fiedler; Nils Hoffmann; Parvez Mohammed; Gabriel A. Popoola; Tamar Yovell; Vladyslav Oles; J. Austin Ellis; Sivasankaran Rajamanickam; Attila Cangi (Mach. Learn. Sci. Technol., 2022)

Computing the Gromov-Hausdorff distance using first-order methods. - Vladyslav Oles (CoRR, 2023)

Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study. - Vladyslav Oles; Anna Schmedding; George Ostrouchov; Woong Shin; Evgenia Smirni; Christian Engelmann (ICS, 2024)

Efficient estimation of the modified Gromov-Hausdorff distance between unweighted graphs. - Vladyslav Oles; Nathan Lemons; Alexander Panchenko (J. Comb. Optim., 2024)

Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data. - Vladyslav Oles; Sajal Dash; Ramu Anandakrishnan (BMC Bioinform., 2025)