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Iris dataset
The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples... -
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation -
Dynamical Variational Autoencoders: A Comprehensive Review
A comprehensive review of dynamical variational autoencoders -
Auto-encoding variational Bayes
Auto-encoding variational Bayes -
Learning Graphon Autoencoders for Generative Graph Modeling
Graphon is a nonparametric model that generates graphs with arbitrary sizes and can be induced from graphs easily. Based on this model, we propose a novel algorithmic framework... -
Model Synthesis for Zero-Shot Model Attribution
The dataset used in the paper for model attribution, consisting of images generated by various generative models. -
Toy Benchmark Problem
The dataset used in the paper is a toy benchmark problem, where the data is generated by uniform sampling from a compact symmetry group G and other independent factors of... -
Beta Diffusion
Beta diffusion is a novel generative modeling method that integrates demasking and denoising to generate data within bounded ranges. -
Deciphering Autoencoders
Generative Autoencoding of Dropout Patterns