Verified claim · AI-ML · 100% confidence
Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020).
Last verified 2026-05-16 · Methodology veritas-v0.1 · e700f81fff6f38c7
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Structured fields
- Subject
- Denoising Diffusion Probabilistic Models (DDPM)
- Predicate
introduced_in_paper- Object
- Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020)
- Confidence
- 100%
- Tags
- ddpm · diffusion · foundational · ho · 2020 · nips · image-generation
Sources (2)
[1] preprint · arXiv (Ho, Jain, Abbeel) · 2020-06-19
Denoising Diffusion Probabilistic Models“We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable models inspired by considerations from nonequilibrium thermodynamics.”
[2] peer reviewed · NeurIPS Foundation · 2020-12-06
Denoising Diffusion Probabilistic Models (NeurIPS 2020)
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// "Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/e700f81fff6f38c7.json")
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# "Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_denoising_diffusion_probabilistic_models_ddpm_fact() -> dict:
"""Fetch the verified SourceScore claim for Denoising Diffusion Probabilistic Models (DDPM)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/e700f81fff6f38c7.json")
return r.json()