May 28, 2021 · We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks.
Jun 4, 2023 · We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks.
Abstract. We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks.
Feb 10, 2024 · Geometric deep learning is based on group theory. The input of the neural networks, usually in the euclidean space, is transformer into a SO(3) ...
Sep 6, 2024 · We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks.
Oct 3, 2023 · This video is meant to be a supplementary aid to help understanding this paper by Taco S. Cohen and Max Welling.
We have delivered a course on Geometric Deep Learing (GDL100), which closely follows the contents of our GDL proto-book.
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Equivariant neural networks are part of a broader topic of geometric deep learning, which is learning with data that has some underlying geometric ...
Jan 5, 2024 · Here we propose an equivariant geometry-enhanced graph neural network called ViSNet, which elegantly extracts geometric features and efficiently models ...
Geometric deep learning and equivariant neural networks ... Authors: Jan E. Gerken; Jimmy Aronsson; Oscar Carlsson; Hampus Linander; Fredrik Ohlsson; Christoffer ...