| Split-step Milstein methods for multi-channel stiff stochastic differential systems V Reshniak, AQM Khaliq, DA Voss, G Zhang Applied Numerical Mathematics 89, 1-23, 2015 | 33 | 2015 |
| MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Q Gong, J Chen, B Whitney, X Liang, V Reshniak, T Banerjee, J Lee, ... SoftwareX 24, 101590, 2023 | 15 | 2023 |
| Robust learning with implicit residual networks V Reshniak, CG Webster Machine Learning and Knowledge Extraction 3 (1), 34-55, 2020 | 15 | 2020 |
| Spatiotemporally adaptive compression for scientific dataset with feature preservation–a case study on simulation data with extreme climate events analysis Q Gong, C Zhang, X Liang, V Reshniak, J Chen, A Rangarajan, S Ranka, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | 6 | 2023 |
| Anderson acceleration for distributed training of deep learning models ML Pasini, J Yin, V Reshniak, MK Stoyanov SoutheastCon 2022, 289-295, 2022 | 6 | 2022 |
| On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters HA Lay, Z Colgin, V Reshniak, AQM Khaliq Monte Carlo Methods and Applications 24 (4), 309-321, 2018 | 5 | 2018 |
| A semi-analytical approach to Green׳ s functions for heat equation in regions of irregular shape YA Melnikov, V Reshniak Engineering Analysis with Boundary Elements 46, 108-115, 2014 | 5 | 2014 |
| Stable Anderson acceleration for deep learning ML Pasini, J Yin, V Reshniak, M Stoyanov arXiv preprint arXiv:2110.14813, 2021 | 4 | 2021 |
| Slow-scale split-step tau-leap method for stiff stochastic chemical systems V Reshniak, A Khaliq, D Voss Journal of Computational and Applied Mathematics 361, 79-96, 2019 | 3 | 2019 |
| Some further developments in the infinite product representation of elementary functions V Reshniak Global Journal of Science Frontier Research 13 (4), 2013 | 3 | 2013 |
| Расчет обтекания сложных гидродинамических конфигураций комбинированным методом граничных элементов и дискретных вихрей ЮВ Бразалук, ДВ Евдокимов, ВГ Решняк Вісник Дніпропетровського університету. Серія: Механіка, 50-67, 2012 | 3 | 2012 |
| A nonlocal feature-driven exemplar-based approach for image inpainting V Reshniak, J Trageser, CG Webster SIAM Journal on Imaging Sciences 13 (4), 2140-2168, 2020 | 2 | 2020 |
| A General Framework for Error-controlled Unstructured Scientific Data Compression Q Gong, Z Wang, V Reshniak, X Liang, J Chen, Q Liu, TM Athawale, Y Ju, ... 2024 IEEE 20th International Conference on e-Science (e-Science), 1-10, 2024 | 1 | 2024 |
| Lifting MGARD: construction of (pre) wavelets on the interval using polynomial predictors of arbitrary order V Reshniak, E Ferguson, Q Gong, N Vidal, R Archibald, S Klasky arXiv preprint arXiv:2408.07212, 2024 | 1 | 2024 |
| Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy Y Shi, O Kotevska, V Reshniak, A Singh, R Raskar arXiv preprint arXiv:2405.10376, 2024 | 1 | 2024 |
| A Review of Sensing Technologies for New, Low Global Warming Potential (GWP), Flammable Refrigerants V Reshniak, P Cheekatamarla, V Sharma, S Yana Motta Energies 16 (18), 6499, 2023 | 1 | 2023 |
| A scalable transformer model for real-time decision making in neutron scattering experiments J Yin, S Liu, V Reshniak, X Wang, G Zhang Journal of Machine Learning for Modeling and Computing 4 (1), 2023 | 1 | 2023 |
| AI-Based Approach for Advancing the Understanding of Spatiotemporal Drought Characteristics D Rastogi, K Kurte, V Reshniak, O Kotevska Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | 1 | 2021 |
| Reducing computational cost of the multilevel Monte Carlo method by construction of suitable pathwise integrators V Reshniak Middle Tennessee State University, 2017 | 1 | 2017 |
| Anisotropic Gaussian Smoothing for Gradient-based Optimization A Starnes, G Zhang, V Reshniak, C Webster arXiv preprint arXiv:2411.11747, 2024 | | 2024 |
Guannan ZhangOak Ridge National LaboratoryVerified email at ornl.gov