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Geometric Deep Learning
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Geometric Deep Learning
Sifting through hundreds of thousands of hours of indexed videos
Geometric Deep Learning
Arcmira media summary
Arcmira tracks where Geometric Deep Learning is discussed across indexed YouTube videos, transcripts, channels, and related entities.
A subset of the categorical framework that is recovered when homomorphisms are group actions.
The mathematical framework used to model the symmetries of the football pitch.
A precursor framework that categorical deep learning seeks to generalize.
A field of deep learning focused on symmetries and equivariance, which Petar is extending using category theory.
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“A subset of the categorical framework that is recovered when homomorphisms are group actions.”
“The mathematical framework used to model the symmetries of the football pitch.”
“A precursor framework that categorical deep learning seeks to generalize.”
![#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]](https://img.youtube.com/vi/1lkdWduuN14/mqdefault.jpg)
“A field of deep learning focused on symmetries and equivariance, which Petar is extending using category theory.”
![#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]](https://img.youtube.com/vi/jAGIuobLp60/mqdefault.jpg)
“The theoretical framework for unifying various neural network architectures.”
The theoretical framework for unifying various neural network architectures.
Arcmira tracks 6 indexed media appearances or mentions for Geometric Deep Learning, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "The "Final Boss" of Deep Learning" with transcript-derived context and links when available.
Geometric Deep Learning is connected to DeepMind, Amazon, Microsoft in Arcmira's media graph.