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cs.LG2022
Interpretable Climate Change Modeling With Progressive Cascade Networks
Charles Anderson, Jason Stock, David Anderson
Typical deep learning approaches to modeling high-dimensional data often result in complex models that do not easily reveal a new understanding of the data. Research in the deep le…
cs.LG2022★ 1 cited
Trainable Wavelet Neural Network for Non-Stationary Signals
Jason Stock, Chuck Anderson
This work introduces a wavelet neural network to learn a filter-bank specialized to fit non-stationary signals and improve interpretability and performance for digital signal proce…