GFlowNets and variational inference
cs.LG, stat.ML
Submitted: 2022-10-02
Updated: 2026-08-31
Code: https://github.com/GFNOrg/GFN_vs_HVI
Terminology
Sources
- Relational inductive biases, deep learning, and graph networks
- GFlowNet Foundations
- A theory of continuous generative flow networks
- Learning GFlowNets from partial episodes for improved convergence and stability
- Expectation Propagation for approximate Bayesian inference
- Unifying Generative Models with GFlowNets and Beyond
- Variational f-divergence Minimization
- A Variational Perspective on Generative Flow Networks
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