InfinityKAN is a variational inference method that learns the number of basis functions per layer in KANs during training, matching or exceeding fixed-basis KAN performance across 18 datasets without manual selection.
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
2 Pith papers cite this work. Polarity classification is still indexing.
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Optimal softmax temperature is analytically determined by feature dimensionality, adjusted by fitted coefficients and batch norm for model- and domain-robust classification.
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Variational Kolmogorov-Arnold Network
InfinityKAN is a variational inference method that learns the number of basis functions per layer in KANs during training, matching or exceeding fixed-basis KAN performance across 18 datasets without manual selection.
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Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Optimal softmax temperature is analytically determined by feature dimensionality, adjusted by fitted coefficients and batch norm for model- and domain-robust classification.