Media Summary: This video series introduces the mathematical and conceptual foundations of 0:00 Visualisation of the Fourier Bessel basis 1:07 SO(2) 0:00 Background and motivation 1:09 Notation used in the series 1:59 Simple discrete

Equivariant Convolutions And Tensor Fields - Detailed Analysis & Overview

This video series introduces the mathematical and conceptual foundations of 0:00 Visualisation of the Fourier Bessel basis 1:07 SO(2) 0:00 Background and motivation 1:09 Notation used in the series 1:59 Simple discrete 0:00 Formal definition of the basis change from the real to complex representation 1:34 Basis change for the real rotation matrix to ... 0:00 Moving into the discrete point cloud regime 1:13 Discrete point cloud SO(2) Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep Learning for ...

Workshop on Equivariance and Data Augmentation Website: Friday, ... ECCV 2018 Authors: Nichita Diaconu*, Daniel E. Worrall* Paper: Code: ... Episode 6: In this episode, we explore ML models that have Video recording of the First Italian School on Geometric Deep Learning held in Pescara in July 2022. Slides: ... Jeoren Lamb, Imperial College London July 12, 2024 Fourth Symposium on Machine Learning and Dynamical Systems ...

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Equivariant Convolutions and Tensor Fields — Episode 1:  Introduction
Equivariant Convolutions and Tensor Fields — Episode 6: Real Tensor Field Rotations
Equivariant Convolutions and Tensor Fields — Episode 5: Rotationally Equivariant Convolutions
Equivariant Convolutions and Tensor Fields — Episode 2: Convolutions and Translational Equivariance
Equivariant Convolutions and Tensor Fields — Episode 8: Spin of Tensor Fields
Equivariant Convolutions and Tensor Fields — Episode 3: Rotational Equivariance
Equivariant Convolutions and Tensor Fields — Episode 9: Convolutions on Tensor Fields in 2D
Equivariant Convolutions and Tensor Fields — Episode 7: Complex Tensor Field Rotations
Equivariant Convolutions and Tensor Fields — Episode 10: Convolutions on Tensor Fields in 3D
Equivariant Neural Networks | Part 1/3 - Introduction
Equivariant Networks and Natural Graph Networks - Taco Cohen
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
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