Erik Bekkers
Publishes 2 feeds
Group Equivariant Deep Learning (UvA - 2022)
10 posts · theirs
Machine Learning 1 (2020)
10 posts · theirs
Lately
2.1 Expectation Variance (UvA - Machine Learning 1 - 2020)
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 2.5: Steerable group convolutions
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Group Equivariant Deep Learning - Lecture 1.1: Introduction
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
3.5 Regularized Least Squares (UvA - Machine Learning 1 - 2020)
Everything on this page was read from markup Erik Bekkers published — a rel="me" link, an h-card, or the feed’s own author element. Nothing was inferred from anywhere else. To correct or remove it, get in touch. Machine-readable: JSON