Improved off-policy training of diffusion samplers
cs.LG, stat.ML
Submitted: 2024-02-07
Updated: 2026-08-28
Code: https://github.com/GFNOrg/gfn-diffusion
Terminology
Sources
- Posterior samples of source galaxies in strong gravitational lenses with score-based priors
- An optimal control perspective on diffusion-based generative modeling
- From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
- Nested Sampling Methods
- NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
- Learning to Scale Logits for Temperature-Conditional GFlowNets
- Improving Gradient-guided Nested Sampling for Posterior Inference
- Thompson sampling for improved exploration in GFlowNets
- Generative Flow Networks as Entropy-Regularized RL
- Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
- Unifying Generative Models with GFlowNets and Beyond
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