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  • Become The AI Epiphany Patreon ❤️ ‍ ‍ ‍ Join our Discord community ...
  • This video is meant to be a supplementary resource to help understanding the below paper by Taco S.
  • Join the Learning on Graphs and Geometry Reading Group: Paper “MACE: Higher ...
  • Speakers: Robin Walters and Jung Yeon Park (Northeastern University) Symposium on Geometry Processing (SGP) 2024 June ...

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Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep Learning for ...

Equivariant Neural Networks (SGP Graduate School 2024)

Equivariant Neural Networks (SGP Graduate School 2024)

Speakers: Robin Walters and Jung Yeon Park (Northeastern University) Symposium on Geometry Processing (SGP) 2024 June ...

Equivariant Neural Networks | Part 2/3 - Generalized CNNs

Equivariant Neural Networks | Part 2/3 - Generalized CNNs

Read more details and related context about Equivariant Neural Networks | Part 2/3 - Generalized CNNs.

Equivariant Neural Networks | Part 3/3 - Transformers and GNNs

Equivariant Neural Networks | Part 3/3 - Transformers and GNNs

Papers / Resources ▭▭▭ SchNet: SE(3) Transformer: Tensor ...

Equivariant Convolutional Neural Network  | Geometric Deep Learning

Equivariant Convolutional Neural Network | Geometric Deep Learning

This video is meant to be a supplementary resource to help understanding the below paper by Taco S. Cohen and Max Welling ...

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Equivariant Models | Open Catalyst Intro Series | Ep. 6

... volumetric data: Tensor Field Networks: Rotation-and translation-

Equivariant Neural Networks

Equivariant Neural Networks

Read more details and related context about Equivariant Neural Networks.

Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs

Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs

Read more details and related context about Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs.

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Become The AI Epiphany Patreon ❤️ ‍ ‍ ‍ Join our Discord community ...

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Join the Learning on Graphs and Geometry Reading Group: Paper “MACE: Higher ...