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20172021
most citedLearning physically consistent mathematical models from data using group sparsity

26 citations · 59 across the 6 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 7 cited

Parallel Discrete Convolutions on Adaptive Particle Representations of Images

Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu +2

We present data structures and algorithms for native implementations of discrete convolution operators over Adaptive Particle Representations (APR) of images on parallel computer a…

math.NA2021★ 3 cited

STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations

Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman +2

Numerical methods for approximately solving partial differential equations (PDE) are at the core of scientific computing. Often, this requires high-resolution or adaptive discretiz…