Viktor Reshniak

Orcid: 0000-0003-1545-4462

According to our database1, Viktor Reshniak authored at least 9 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Dissipative residual layers for unsupervised implicit parameterization of data manifolds.
CoRR, 2022

2021
Robust Learning with Implicit Residual Networks.
Mach. Learn. Knowl. Extr., 2021

Stable Anderson Acceleration for Deep Learning.
CoRR, 2021

2020
A Nonlocal Feature-Driven Exemplar-Based Approach for Image Inpainting.
SIAM J. Imaging Sci., 2020

Method of Green's Potentials for Elliptic PDEs in Domains with Random Apertures.
J. Sci. Comput., 2020

2019
Slow-scale split-step tau-leap method for stiff stochastic chemical systems.
J. Comput. Appl. Math., 2019

2018
On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters.
Monte Carlo Methods Appl., 2018


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