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GAIA: Geometry Adaptive Integral AutoEncoder Networks for Operator Learning
Operator learning for partial differential equations (PDEs) on arbitrary geometries builds fast neural surrogates for large-scale …
Meenakshi Krishnan, P. Pulijala, Ke Chen, Haizhao Yang, Ramani Duraiswami
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Error Analysis for Learning Time-Stepping Algorithms for PDEs
Deep neural networks (DNNs) have recently emerged as effective tools for approximating solution operators of partial differential …
Ke Chen, Meenakshi Krishnan, Haizhao Yang
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