Exploring Equivariant Neural Networks
If you are looking for information about Equivariant Neural Networks, you have come to the right place.
- Speakers: Robin Walters and Jung Yeon Park (Northeastern University) Symposium on Geometry Processing (SGP) 2024 June ...
- Part of the Physics for AI Workshop, Oxford, 10-21 March 2025, physics4ai.web.ox.ac.uk.
- ... Tensor Field Networks N. Thomas et al., Tensor Field Networks: Rotation- and Translation-
- Casting graph
- Link to the presentation: ...
In-Depth Information on Equivariant Neural Networks
Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: https://fabianfuchsml.github.io/equivariance1of2/ Deep Learning for ... Join our Discord community where we discuss, learn, and build physics-based AI models: https://discord.gg/xr9DzkqM This video ... This video is meant to be a supplementary resource to help understanding the below paper by Taco S. Cohen and Max Welling ... ... volumetric data: https://arxiv.org/abs/1807.02547 Tensor Field Networks: Rotation-and translation-
Join the Learning on Graphs and Geometry Reading Group: https://hannes-stark.com/logag-reading-group Paper "
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