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cs.LG2024
Scaling Continuous Kernels with Sparse Fourier Domain Learning
Clayton Harper, Luke Wood, Peter Gerstoft +1
We address three key challenges in learning continuous kernel representations: computational efficiency, parameter efficiency, and spectral bias. Continuous kernels have shown sign…
cs.LG2023
Automatic Modulation Classification with Deep Neural Networks
Clayton Harper, Mitchell Thornton, Eric Larson
Automatic modulation classification is a desired feature in many modern software-defined radios. In recent years, a number of convolutional deep learning architectures have been pr…