Feb 8, 2024 � We propose a convenient matrix-free neural architecture for the multigrid method. The architecture is simple enough to be implemented in less than fifty lines�...
Nov 23, 2016 � Most critically, multigrid structure enables networks to learn internal attention and dynamic routing mechanisms, and use them to accomplish�...
We propose a multigrid extension of convolutional neu- ral networks (CNNs). Rather than manipulating represen- tations living on a single spatial grid,�...
Abstract—We propose a convenient matrix-free neural archi- tecture for the multigrid method. The architecture is simple enough to be implemented in less�...
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Most critically, multigrid structure enables networks to learn internal attention and dynamic routing mechanisms, and use them to accomplish tasks on which�...
A convenient matrix-free neural architecture for the multigrid method that can be trained on linear problems with thousands of unknowns and retains its�...
Our multigrid memory architecture jointly couples computation with memory read and write operations, and learns how to use a generic mem- ory structure rather�...
We propose a multigrid extension of convolutional neural networks (CNNs). Rather than manipulating representations living on a single spatial grid, our network�...
In this repository, you can find exceptionally simple neural multigrid architecture that runs on GPU and does not depend on the matrix of a linear operator.
We introduce a radical new approach to endowing neural networks with access to long-term and large-scale memory.