Today's generative neural networks allow the creation of high-quality
sy...
We introduce canonical weight normalization for convolutional neural
net...
In machine learning, fewer features reduce model complexity. Carefully
a...
Recent advances in practical quantum computing have led to a variety of
...
Wavelets are well known for data compression, yet have rarely been appli...
Various neural network based methods are capable of anticipating human b...
Fourier methods have a long and proven track record in as an excellent t...
Complex numbers have long been favoured for digital signal processing, y...