5 тысяч подписчиков
86 видео
5.5 Decision Theory (UvA - Machine Learning 1 - 2020)
Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Group Equivariant Deep Learning - Lecture 3.6: Literature survey (Regular equivariant graph NNs)
GeoMedIA 2022
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs
Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels
Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-Convs
Group Equivariant Deep Learning - Lecture 1.1: Introduction
Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs
Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
10.4 Non-Linear Principal Component Analysis (UvA - Machine Learning 1 - 2020)
11.6 Support Vector Machines: Soft-Margin Classifiers (UvA - Machine Learning 1 - 2020)
Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs
Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks
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
2.1 Expectation Variance (UvA - Machine Learning 1 - 2020)
Group Equivariant Deep Learning - Lecture 1.4: Example
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
