Nicolas Nytko

According to our database, Nicolas Nytko authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalizing reduction-based algebraic multigrid.

Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West

Numer. Linear Algebra Appl., May, 2024

Generalizing Lloyd's Algorithm for Graph Clustering.

Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West

SIAM J. Sci. Comput., 2024

2023

MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods.

Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation.

Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West

CoRR, 2022

Learning Interface Conditions in Domain Decomposition Solvers.

Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022