GenAI

A non-exhaustive list of key papers and resources on GenAI for continuous spaces.

2022
Building Normalizing Flows with Stochastic Interpolants
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Flow Matching for Generative Modeling
2021
Score-Based Generative Modeling through Stochastic Differential Equations
Denoising Diffusion Implicit Models
2020
Improved Techniques for Training Score-Based Generative Models
Denoising Diffusion Probabilistic Models
2019
Generative Modeling by Estimating Gradients of the Data Distribution
2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Neural Ordinary Differential Equations
2017
Masked Autoregressive Flow for Density Estimation
2016
Density Estimation Using Real NVP
2015
Variational Inference with Normalizing Flows
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
2010
Noise-Contrastive Estimation for Unnormalized Statistical Models
2005
Estimation of Non-Normalized Statistical Models by Score Matching
2004
On Contrastive Divergence Learning for EBMs
2003
A Tutorial on Energy-Based Learning

Blog posts


2021 — Score-Based Generative Models, Yang Song
2023 — Flow-Based Generative Models — Notes, Simon Coste