most citedAnalyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks

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cs.LG2024★ 1 cited

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

Recently, neural networks utilizing periodic activation functions have been proven to demonstrate superior performance in vision tasks compared to traditional ReLU-activated networ…

cs.LG2024

Architectural Strategies for the optimization of Physics-Informed Neural Networks

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

Physics-informed neural networks (PINNs) offer a promising avenue for tackling both forward and inverse problems in partial differential equations (PDEs) by incorporating deep lear…