Research map / Probabilistic and scientific modeling / Variational and generative sampling
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use non-convergent, non-persistent short-run MCMC initialized from noise as the generator | Energy-based image generation · CIFAR-10 | IS: 6.16 -> 6.21 | Helped |
| Use non-convergent, non-persistent short-run MCMC initialized from noise as the generator | Energy-based image generation · CelebA | FID: 32.71 -> 23.02 | Helped |
| Use non-convergent, non-persistent short-run MCMC initialized from noise as the generator | Energy-based image generation · LSUN Bedroom | MSE: 0.0592 -> 0.0272 | Helped |
| Increase the MCMC run length from K=5 to K=100 (ablation) | Short-run MCMC · CIFAR-10 | FID: 213.08 -> 63.81 | Helped |
| Increase the MCMC run length from K=5 to K=100 (ablation) | Short-run MCMC · CIFAR-10 | IS: 2.06 -> 4.92 | Helped |
| Reduce injected data noise from sigma=0.10 to sigma=0.03 (ablation) | Short-run MCMC · CIFAR-10 | FID: 132.51 -> 63.81 | Helped |
| Reduce injected data noise from sigma=0.10 to sigma=0.03 (ablation) | Short-run MCMC · CIFAR-10 | IS: 4.05 -> 4.92 | Helped |
| Increase feature-map count from n_f=32 to n_f=128 (ablation) | Short-run MCMC · CIFAR-10 | FID: 63.81 -> 44.50 | Helped |
| Increase feature-map count from n_f=32 to n_f=128 (ablation) | Short-run MCMC · CIFAR-10 | IS: 4.92 -> 6.21 | Helped |
Closest papers by meaning
- On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models (AAAI 2020 · similarity 0.91)
- Learning Energy-based Model via Dual-MCMC Teaching (NeurIPS 2023 · similarity 0.90)
- Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood (ICLR 2024 · similarity 0.87)
- Simple Distillation for One-Step Diffusion Models (NeurIPS 2025 · similarity 0.86)
- Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models (NeurIPS 2026 · similarity 0.86)
- Improving Adversarial Energy-Based Model via Diffusion Process (ICML 2024 · similarity 0.85)
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