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https://jmlr.org/papers/v23/21-0732.html
An Error Analysis of Generative Adversarial Networks for Learning Distributions
networks for learning
an error
analysis
generative
adversarial
https://openreview.net/forum?id=HJgfDREKDB
Higher-Order Function Networks for Learning Composable 3D Object Representations | OpenReview
Neural nets can encode complex 3D objects into the parameters of other (surprisingly small) neural nets
higher order function
networks for learning
3d object
https://openreview.net/forum?id=oO6FsMyDBt
Graph Neural Networks for Learning Equivariant Representations of Neural Networks | OpenReview
Neural networks that process the parameters of other neural networks find applications in domains as diverse as classifying implicit neural representations,...
graph neural networks
for learning
equivariant
representations
openreview
https://openreview.net/forum?id=BJeKh3VYDH
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds |...
We propose a generative neural network approach for temporally coherent point clouds.
networks for learning
tranquil
clouds
neural
https://www.forj.ai/
Online Community and Learning for Associations and Professional Networks | Forj
Forj is a leading community software solution that brings together community and learning in a single platform for associations and professional networks.
community and learning
for associations
professional networks
online
forj