Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (https://uvadl2c.github.io) at the University of Amsterdam
Скорбь и злорадство: Британия попрощается с...
Python Data Structures - Python Lists | Just enough Python
19) Клапан сливной для скважины ФОКУС 32 мм на ПНД
How to Fix Your Data Isn't Backed Up Problem Google Your Data Isn't Backed Up Problem Solve
Predicción. Cuartos de Final • Mundial Qatar 2022.
Mega Man: Super Fighting Robot OST- Wily Stage 5
"Тузоқ" 1-қисм Ўзбек сериали | "Tuzoq" 1-qism О'zbek seriali
💎 Master Mesotherapy at Home with Crystal 5-Pin! 💉
UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1
GeoMedIA 2022
2.1 Expectation Variance (UvA - Machine Learning 1 - 2020)
Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs
Group Equivariant Deep Learning - Lecture 3.6: Literature survey (Regular equivariant graph NNs)
Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)
Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)
Group Equivariant Deep Learning - Lecture 3.3: Tensor products as conditional linear layers
Group Equivariant Deep Learning - Lecture 3.2: Equivariant message passing as non-linear convolution
Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs
Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-Convs
Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels
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 1.1: Introduction
Group Equivariant Deep Learning - Lecture 1.4: Example
Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)
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