31 citations · 125 across the 15 of their papers we have counts for
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cs.LG2022★ 9 cited
Towards a General Purpose CNN for Long Range Dependencies in D
David W. Romero, David M. Knigge, Albert Gu +4
The use of Convolutional Neural Networks (CNNs) is widespread in Deep Learning due to a range of desirable model properties which result in an efficient and effective machine learn…
cs.LG2022★ 6 cited
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk
Equivariances provide useful inductive biases in neural network modeling, with the translation equivariance of convolutional neural networks being a canonical example. Equivariance…