Add resource "#60 Geometric Deep Learning Blueprint (Special Edition)" Accepted
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Add #60 Geometric Deep Learning Blueprint (Special Edition)
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- #60 Geometric Deep Learning Blueprint (Special Edition)
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- Video
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- 2021-09-19
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- This week we spoke with Professor Michael Bronstein (head of graph ML at Twitter) and Dr. Petar Veličković (Senior Research Scientist at DeepMind), and Dr. Taco Cohen and Prof. Joan Bruna about their new proto-book Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.
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- https://www.youtube.com/watch?v=bIZB1hIJ4u8
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Add Geometric Deep Learning
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- Geometric Deep Learning
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- Geometric Deep Learning is an attempt for geometric unification of a broad class of ML problems from the perspectives of symmetry and invariance. These principles not only underlie the breakthrough performance of convolutional neural networks and the recent success of graph neural networks but also provide a principled way to construct new types of problem-specific inductive biases.
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- https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b451d
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Add Geometric Deep Learning treated in #60 Geometric Deep Learning Blueprint (Special Edition)
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Add Deep learning parent of Geometric Deep Learning
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