Justin Wan

According to our database¹, Justin Wan authored at least 3 papers between 2023 and 2026.

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2026

A level-wise training scheme for learning neural multigrid smoothers with application to integral equations.

[DOI]

CoRR, March, 2026

2023

Efficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks.

[DOI]

CoRR, 2023

MM-ADMM: Implicit integration of MMPDEs in parallel.

[DOI]

Comput. Math. Appl., 2023