research
∙
01/30/2023
A theory of continuous generative flow networks
Generative flow networks (GFlowNets) are amortized variational inference...
share
research
∙
02/03/2022
Generative Flow Networks for Discrete Probabilistic Modeling
We present energy-based generative flow networks (EB-GFN), a novel proba...
research
∙
02/22/2020
Stochasticity in Neural ODEs: An Empirical Study
Stochastic regularization of neural networks (e.g. dropout) is a wide-sp...
research
∙
05/01/2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
This paper proposes a semi-conditional normalizing flow model for semi-s...
research
∙
03/28/2019