Group Equivariant Sparse Coding Christian

By Editorial Team · September 28, 2026 · 8 min read

Group Equivariant Sparse Coding Christian Information Guide

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Key Details

Full Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations) Guide
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Recent Updates

Full Group Equivariant Deep Learning - Lecture 1.1: Introduction Update
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Nicola Quercioli (1/13/21): Group equivariant non-expansive operators and their use in Deep Learning
Nicola Quercioli (1/13/21): Group equivariant non-expansive operators and their use in Deep Learning
Group Equivariant Deep Learning - Lecture 1.4: Example
Group Equivariant Deep Learning - Lecture 1.4: Example
Kai Yu: Image Classification Using Sparse Coding, Pt. 1
Kai Yu: Image Classification Using Sparse Coding, Pt. 1
Data Science Speaker Series: Sparse Coding - Prof. Mike DeWeese, UC Berkeley
Data Science Speaker Series: Sparse Coding - Prof. Mike DeWeese, UC Berkeley
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
Equivariant Subgraph Aggregation Networks | Beatrice Bevilacqua, Fabrizio Frasca & Derek Lim
Equivariant Subgraph Aggregation Networks | Beatrice Bevilacqua, Fabrizio Frasca & Derek Lim
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
Leveraging permutation group symmetries for designing equivariant neural networks - Haggai Maron
Leveraging permutation group symmetries for designing equivariant neural networks - Haggai Maron
Equivariant Neural Networks | Part 1/3 - Introduction
Equivariant Neural Networks | Part 1/3 - Introduction

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Last Updated: September 28, 2026

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Full Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs News
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Lecture 2: Steerable group convolutional neural networks Part of the module on Full Title: On the topological and geometrical properties of Graduate Summer School 2012: Deep Learning, Feature Learning "Image Classification Using Lecture 3: Equivariant graph neural networks Part of the module on Join the Learning on Graphs and Geometry Reading Workshop on Equivariance and Data Augmentation Website: sites.google.com/view/equiv-data-aug/home Friday, ... Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: fabianfuchsml.github.io/equivariance1of2/ Deep Learning for ...

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