Max Welling
(8 articles)
Autoencoder
Type of artificial neural network used to learn efficient codings of unlabeled data, typically for the purpose of dimensionality reduction or feature learning.
Generality: 815
GNN
Graph Neural Networks
Graph Neural Networks
Type of neural network designed for processing data represented in graph form, capturing relationships and structure within the data.
Generality: 800
VAE
Variational Autoencoders
Variational Autoencoders
Class of generative models that use neural networks to encode inputs into a latent space and then decode from this space to reconstruct the input or generate new data that resemble the input data.
Generality: 721
Equivariance
Property of a function whereby the function commutes with the actions of a group, meaning that transformations applied to the input result in proportional transformations in the output.
Generality: 618
GCN
Graph Convolutional Networks
Graph Convolutional Networks
Class of neural networks designed to operate on graph-structured data, leveraging convolutional layers to aggregate and transform features from graph nodes and their neighbors.
Generality: 680
Graph Machine Learning
AI field that applies ML techniques to graph-structured data, enabling the analysis and prediction of relationships and behaviors among interconnected nodes.
Generality: 796
Generative Model
A type of AI model that learns to generate new data instances that mimic the training data distribution.
Generality: 840
Geometry-Informed Neural Networks
Models that integrate geometric information into neural network architectures to enhance their ability to learn and represent complex, structured data.
Generality: 500