Research map / Probabilistic and scientific modeling / Variational and generative sampling
A Theory of Generative ConvNet
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use one-step contrastive divergence, with the Langevin step remaining in the same activation pattern | Generative ConvNet · 10-image reconstruction experiment | reconstruction quality | Helped |
| Use Gaussian white noise as the reference distribution | Generative ConvNet · Generative ConvNet model | auto-encoding representation | Helped |
| Use ReLU nonlinearity | Generative ConvNet · Generative ConvNet model | piecewise Gaussian representation | Helped |
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- An Architecture for Deep, Hierarchical Generative Models (NeurIPS 2016 · similarity 0.86)
- DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling (NeurIPS 2025 · similarity 0.84)
- Denoising Autoregressive Representation Learning (ICML 2024 · similarity 0.84)
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