| Mg-gnn: Multigrid graph neural networks for learning multilevel domain decomposition methods A Taghibakhshi, N Nytko, TU Zaman, S MacLachlan, L Olson, M West International Conference on Machine Learning, 33381-33395, 2023 | 15 | 2023 |
| Learning interface conditions in domain decomposition solvers A Taghibakhshi, N Nytko, TU Zaman, S MacLachlan, L Olson, M West Advances in Neural Information Processing Systems 35, 7222-7235, 2022 | 14 | 2022 |
| Optimized sparse matrix operations for reverse mode automatic differentiation N Nytko, A Taghibakhshi, TU Zaman, S MacLachlan, LN Olson, M West arXiv preprint arXiv:2212.05159, 2022 | 7 | 2022 |
| Generalizing reduction‐based algebraic multigrid T Zaman, N Nytko, A Taghibakhshi, S MacLachlan, L Olson, M West Numerical Linear Algebra with Applications 31 (3), e2543, 2024 | 5 | 2024 |
| Innovating and modernizing a Linear Algebra class through teaching computational skills M Silva, P Hieronymi, M West, N Nytko, A Deshpande, JC Chuang, ... 2022 ASEE Annual Conference & Exposition, 2022 | 5 | 2022 |
| A simple and efficient markup tool to generate drawing-based online assessments N Nytko, M West, M Silva 2020 ASEE Virtual Annual Conference Content Access, 2020 | 3 | 2020 |
| A case study of early performance prediction and intervention in a computer science course M Silva, EG Shaffer, N Nytko, JR Amos 2020 ASEE Virtual Annual Conference Content Access, 2020 | 2 | 2020 |
| Generalizing lloyd’s algorithm for graph clustering T Zaman, N Nytko, A Taghibakhshi, S MacLachlan, L Olson, M West SIAM Journal on Scientific Computing 46 (5), A2819-A2847, 2024 | 1 | 2024 |
| Teaching An Old Dog New Tricks: Porting Legacy Code to Heterogeneous Compute Architectures With Automated Code Translation N Nytko, A Reisner, JD Moulton, LN Olson, M West arXiv preprint arXiv:2502.05279, 2025 | | 2025 |
