Erik Bekkers
Erik Bekkers
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UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1
UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1
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Відео

2.1 Expectation Variance (UvA - Machine Learning 1 - 2020)18:402.1 Expectation Variance (UvA - Machine Learning 1 - 2020)
2.1 Expectation Variance (UvA - Machine Learning 1 - 2020)
Переглядів 4,2 тис.2 роки тому
See uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a Creative Commons Attribution 4.0 International License (creativecommons.org/licenses/by/4.0/).
Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs31:40Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs
Group Equivariant Deep Learning - Lecture 3.7: Gauge equivariant graph NNs
Переглядів 2 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.6: Literature survey (Regular equivariant graph NNs)43:56Group 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)
Переглядів 1,5 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)48:43Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)
Group Equivariant Deep Learning - Lecture 3.5: Literature survey (3D Steerable graph NNs)
Переглядів 2,2 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)34:17Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)
Group Equivariant Deep Learning - Lecture 3.4: Group Theory (SO(3) irreps, Wigner-D, Clebsch-Gordan)
Переглядів 5 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.3: Tensor products as conditional linear layers12:34Group Equivariant Deep Learning - Lecture 3.3: Tensor products as conditional linear layers
Group Equivariant Deep Learning - Lecture 3.3: Tensor products as conditional linear layers
Переглядів 2,4 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.2: Equivariant message passing as non-linear convolution33:08Group 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
Переглядів 3,5 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs18:43Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs
Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs
Переглядів 5 тис.2 роки тому
Lecture 3: Equivariant graph neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-Convs20:14Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-Convs
Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-Convs
Переглядів 2,2 тис.2 роки тому
Lecture 2: Steerable group convolutional neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs11:33Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs
Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs
Переглядів 2 тис.2 роки тому
Lecture 2: Steerable group convolutional neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions19:22Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions
Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions
Переглядів 3,8 тис.2 роки тому
Lecture 2: Steerable group convolutional neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)8:57Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
Переглядів 2,9 тис.2 роки тому
Lecture 2: Steerable group convolutional neural networks Part of the module on Group Equivariant Deep Learning of the Deep Learning 2 Course (uvadl2c.github.io) at the University of Amsterdam
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)18:35Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
Переглядів 3,6 тис.2 роки тому
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 Kernels15:20Group 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
Переглядів 3,8 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions22:28Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Переглядів 6 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
Group Equivariant Deep Learning - Lecture 1.1: Introduction19:04Group Equivariant Deep Learning - Lecture 1.1: Introduction
Group Equivariant Deep Learning - Lecture 1.1: Introduction
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Group Equivariant Deep Learning - Lecture 1.1: Introduction
Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)16:31Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)
Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)
Переглядів 4,7 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)
Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs16:08Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs
Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs
Переглядів 4,6 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs
Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need23:36Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need
Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need
Переглядів 5 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.7: Group convolutions are all you need
Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks20:46Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks
Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks
Переглядів 10 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks
Group Equivariant Deep Learning - Lecture 1.4: Example16:38Group Equivariant Deep Learning - Lecture 1.4: Example
Group Equivariant Deep Learning - Lecture 1.4: Example
Переглядів 5 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.4: Example
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)23:27Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
Переглядів 10 тис.2 роки тому
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
13.4 Decision Trees And Random Forests (UvA - Machine Learning 1 - 2020)28:0013.4 Decision Trees And Random Forests (UvA - Machine Learning 1 - 2020)
13.4 Decision Trees And Random Forests (UvA - Machine Learning 1 - 2020)
Переглядів 1,4 тис.3 роки тому
13.4 Decision Trees And Random Forests (UvA - Machine Learning 1 - 2020)
13.3 Boosting (UvA - Machine Learning 1 - 2020)32:5213.3 Boosting (UvA - Machine Learning 1 - 2020)
13.3 Boosting (UvA - Machine Learning 1 - 2020)
Переглядів 9853 роки тому
13.3 Boosting (UvA - Machine Learning 1 - 2020)
13.2 Bootstrapping And Feature Bagging (UvA - Machine Learning 1 - 2020)23:2713.2 Bootstrapping And Feature Bagging (UvA - Machine Learning 1 - 2020)
13.2 Bootstrapping And Feature Bagging (UvA - Machine Learning 1 - 2020)
Переглядів 1,1 тис.3 роки тому
13.2 Bootstrapping And Feature Bagging (UvA - Machine Learning 1 - 2020)
13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)15:2413.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)
13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)
Переглядів 4,1 тис.3 роки тому
13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)
12.5 Gaussian Processes: Regression (UvA - Machine Learning 1 - 2020)14:1912.5 Gaussian Processes: Regression (UvA - Machine Learning 1 - 2020)
12.5 Gaussian Processes: Regression (UvA - Machine Learning 1 - 2020)
Переглядів 7 тис.3 роки тому
12.5 Gaussian Processes: Regression (UvA - Machine Learning 1 - 2020)
12.4 Gaussian Processes With An Exponential Kernel (UvA - Machine Learning 1 - 2020)11:4012.4 Gaussian Processes With An Exponential Kernel (UvA - Machine Learning 1 - 2020)
12.4 Gaussian Processes With An Exponential Kernel (UvA - Machine Learning 1 - 2020)
Переглядів 2,6 тис.3 роки тому
12.4 Gaussian Processes With An Exponential Kernel (UvA - Machine Learning 1 - 2020)
12.3 Gaussian Processes (UvA - Machine Learning 1 - 2020)13:0412.3 Gaussian Processes (UvA - Machine Learning 1 - 2020)
12.3 Gaussian Processes (UvA - Machine Learning 1 - 2020)
Переглядів 2,2 тис.3 роки тому
12.3 Gaussian Processes (UvA - Machine Learning 1 - 2020)