Paul Häusner

According to our database1, Paul Häusner authored at least 6 papers between 2023 and 2025.

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Bibliography

2025
Warm-starting active-set solvers using graph neural networks.
CoRR, November, 2025

Learning to accelerate distributed ADMM using graph neural networks.
CoRR, September, 2025

Learning incomplete factorization preconditioners for GMRES.
Proceedings of the Northern Lights Deep Learning Conference, 2025

2024
Neural incomplete factorization: learning preconditioners for the conjugate gradient method.
Trans. Mach. Learn. Res., 2024

2023
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR, 2023



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