Maurice Weiler - Equivariant and Coordinate Independent Convolutional Networks

Maurice Weiler - Equivariant and Coordinate Independent Convolutional Networks

A Program to Build E(N)-Equivariant Steerable CNNsSee more

A Program to Build E(N)-Equivariant Steerable CNNs

Prerequisites I: Groups, Representations & Equivariance - Maurice WeilerSee more

Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler

Lecture 4: Equivariant CNNs I (Euclidean Spaces) - Maurice WeilerSee more

Lecture 4: Equivariant CNNs I (Euclidean Spaces) - Maurice Weiler

Gauge Equivariant Convolutional Networks and the Icosahedral CNNSee more

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functionsSee more

Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions

Lecture 5: Equivariant CNNs II (Riemannian manifolds) - Maurice WeilerSee more

Lecture 5: Equivariant CNNs II (Riemannian manifolds) - Maurice Weiler

Equivariant Neural Networks | Part 1/3 - IntroductionSee more

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 2/3 - Generalized CNNsSee more

Equivariant Neural Networks | Part 2/3 - Generalized CNNs

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)See more

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNsSee more

Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs

Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNsSee more

Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs

Lecture 5.4 - CNNs for Sequential DataSee more

Lecture 5.4 - CNNs for Sequential Data

Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/ApplicationsSee more

Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/Applications

CSC2547 Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphsSee more

CSC2547 Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutionsSee more

Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions

Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)See more

Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)

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