Nicolas Nytko

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Decomposition Methods

Top Venues

Numer. Linear Algebra Appl.

Publications

Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing reduction-based algebraic multigrid. Numer. Linear Algebra Appl. 31 (3) (2024)
Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. CoRR (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. ICML (2023)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Lloyd's algorithm for graph clustering. CoRR (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. CoRR (2022)
Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. CoRR (2022)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Reduction-Based Algebraic Multigrid. CoRR (2022)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS (2022)