Viktor Reshniak Staff Mathematician Contact RESHNIAKV@ORNL.GOV All Publications Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments A Framework for Compressing Unstructured Scientific Data via Serialization Lifting MGARD: Construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order... Assessing Membership Inference Attacks under Distribution Shifts Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control... A General Framework for Error-controlled Unstructured Scientific Data Compression... Evaluation of Leak Detection Technologies for Low Global Warming Potential (GWP), Flammable Refrigerants MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case Study on Simulation Data with Extreme Climate Events Analysis A Review of Sensing Technologies for New, Low Global Warming Potential (GWP), Flammable Refrigerants Experimental Evaluation of Refrigerant Leak Characteristics for Different HVAC&R Equipment Types Phase 2 A scalable transformer model for real-time decision making in neutron scattering experiments Anderson Acceleration for Distributed Training of Deep Learning Models... Robust Learning with Implicit Residual Networks A Nonlocal Feature-Driven Exemplar-Based Approach for Image Inpainting Method of Green’s Potentials for Elliptic PDEs in Domains with Random Apertures Slow-scale split-step tau-leap method for stiff stochastic chemical systems Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Data Analysis and Machine Learning Group
