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cs.LG2022★ 2 cited
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
Shihong Zhang, Chi Zhang, Bosen Wang
Compared with conventional numerical approaches to solving partial differential equations (PDEs), physics-informed neural networks (PINN) have manifested the capability to save dev…
cs.CV2022
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Wentao Yuan, Qingtian Zhu, Xiangyue Liu +3
Recently, Implicit Neural Representations (INRs) parameterized by neural networks have emerged as a powerful and promising tool to represent different kinds of signals due to its c…