Methods › General › Non-Parametric Regression › Energy Based Process
Energy Based Process
Introduced by Mengjiao Yang et al. in Energy-Based Processes for Exchangeable Data
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Energy Based Processes extend energy based models to exchangeable data while allowing neural network parameterizations of the energy function. They extend the previously separate stochastic process and latent variable model perspectives in a common framework. The result is a generalization of Gaussian processes and Student-t processes that exploits EBMs for greater flexibility.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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TokenCompose: Text-to-Image Diffusion with Token-level Supervision 6 Dec 2023 · 1 repository · arXiv:2312.03626
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Energy-Based Processes for Exchangeable Data 17 Mar 2020 · 1 repository · arXiv:2003.07521
Tasks archive 2025-07-28
6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Denoising | 2 |
| Image Generation | 1 |
| Object | 1 |
| Point Cloud Generation | 1 |
| Text to Image Generation | 1 |
| Text-to-Image Generation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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