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Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

Group Equivariant Deep Learning - Lecture 1.1: Introduction

Group Equivariant Deep Learning - Lecture 1.1: Introduction

Visualizing Forward Pass of Equivariant CNNs | Geometric Deep Learning

Visualizing Forward Pass of Equivariant CNNs | Geometric Deep Learning

Unsupervised Learning of Group Invariant and Equivariant Representations

Unsupervised Learning of Group Invariant and Equivariant Representations

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

UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1

UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1

Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks

Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks

Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)

Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)

Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need

Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need

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

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

Introduction to Group Equivariant Deep Learning | Erik Bekkers | Lec 3

Introduction to Group Equivariant Deep Learning | Erik Bekkers | Lec 3

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

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

Group Equivariant CNNs beyond Roto-Translations: B-Spline CNNs on Lie Groups, Erik Bekkers

Group Equivariant CNNs beyond Roto-Translations: B-Spline CNNs on Lie Groups, Erik Bekkers

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

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

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

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

Group Equivariant Deep Learning - Lecture 3.2: Equivariant message passing as non-linear convolution

Group Equivariant Deep Learning - Lecture 3.2: Equivariant message passing as non-linear convolution

Group Equivariant Deep Learning - Lecture 1.4: Example

Group Equivariant Deep Learning - Lecture 1.4: Example

Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)

Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)

Group Equivariant Deep Learning - Lecture 3.6: Literature survey (Regular equivariant graph NNs)

Group Equivariant Deep Learning - Lecture 3.6: Literature survey (Regular equivariant graph NNs)

Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels

Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels

Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs

Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs

Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)

Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)

Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions

Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions

Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)

Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)

09.01.2025: Equivariant ML: symmetries, groups, representations (PeterLippmann) (Part 1)

09.01.2025: Equivariant ML: symmetries, groups, representations (PeterLippmann) (Part 1)

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