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A Unified Kernel for Neural Network Learning

arXiv — cs.LG•Friday, November 7, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

A Unified Kernel for Neural Network Learning

Recent research has made significant strides in bridging the gap between neural network learning and kernel learning, particularly through the exploration of Neural Network Gaussian Processes (NNGP) and Neural Tangent Kernels (NTK). These advancements not only enhance our theoretical understanding but also have practical implications for improving machine learning models. By connecting infinite-wide neural networks with Gaussian processes, this work opens new avenues for developing more efficient and robust algorithms, which is crucial for the future of AI applications.
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