Viktor Reshniak

21 papers B 5Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A General Framework for Error-controlled Unstructured Scientific Data Compression.
CoRR
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024 B conf
A Framework for Compressing Unstructured Scientific Data via Serialization.
IEEE Big Data
Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024 B conf
A General Framework for Error-controlled Unstructured Scientific Data Compression.
e-Science
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024 J jnl
A framework for compressing unstructured scientific data via serialization.
CoRR
Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024 B conf
Assessing Membership Inference Attacks under Distribution Shifts.
IEEE Big Data
Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik
2024 J jnl
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy.
CoRR
Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar
2024 J jnl
Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order.
CoRR
Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky
2024 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
CoRR
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024 J jnl
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis.
CoRR
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2024 B conf
Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control.
IEEE Big Data
Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky
2023 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023 B conf
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
e-Science
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2022 J jnl
Dissipative residual layers for unsupervised implicit parameterization of data manifolds.
CoRR
Viktor Reshniak
2021 J jnl
Robust Learning with Implicit Residual Networks.
Mach. Learn. Knowl. Extr.
Viktor Reshniak, Clayton G. Webster
2021 J jnl
Stable Anderson Acceleration for Deep Learning.
CoRR
Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak, Miroslav Stoyanov
2020 J jnl
A Nonlocal Feature-Driven Exemplar-Based Approach for Image Inpainting.
SIAM J. Imaging Sci.
Viktor Reshniak, Jeremy Trageser, Clayton G. Webster
2020 J jnl
Method of Green's Potentials for Elliptic PDEs in Domains with Random Apertures.
J. Sci. Comput.
Viktor Reshniak, Yuri A. Melnikov
2019 J jnl
A nonlocal feature-driven exemplar-based approach for image inpainting.
CoRR
Viktor Reshniak, Jeremy Trageser, Clayton G. Webster
2019 J jnl
Robust learning with implicit residual networks.
CoRR
Viktor Reshniak, Clayton G. Webster
2019 J jnl
Slow-scale split-step tau-leap method for stiff stochastic chemical systems.
J. Comput. Appl. Math.
Viktor Reshniak, Abdul Q. M. Khaliq, David A. Voss
2018 J jnl
On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters.
Monte Carlo Methods Appl.
Harold A. Lay, Zane Colgin, Viktor Reshniak, Abdul Q. M. Khaliq