6 citations · 6 across the 3 of their papers we have counts for
3 papers
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.SD2022
Deep Learning Object Detection Approaches to Signal Identification
Luke Wood, Kevin Anderson, Peter Gerstoft +3
Traditionally source identification is solved using threshold based energy detection algorithms. These algorithms frequently sum up the activity in regions, and consider regions ab…
cs.CV2022★ 6 cited
Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation
Luke Wood, Francois Chollet
Evaluating the COCO mean average precision (MaP) and COCO recall metrics as part of the static computation graph of modern deep learning frameworks poses a unique set of challenges…