What is recorded here?
Unified noise-conditioned generative processes through reverse-time SDEs and associated probability-flow ODEs, with predictor-corrector sampling.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Reverse-time stochastic calculus is inherited. Marginal equivalence and likelihood formulas rely on regularity and appropriate score fields; learned scores and numerical solvers add error.
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People and systems
Yang Song; Jascha Sohl-Dickstein; Diederik P. Kingma; Abhishek Kumar; Stefano Ermon; Ben Poole
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Song and colleagues: score-based SDE and probability-flow modeling
Unified noise-conditioned generative processes through reverse-time SDEs and associated probability-flow ODEs, with predictor-corrector sampling.
Scientific scope
Reverse-time stochastic calculus is inherited. Marginal equivalence and likelihood formulas rely on regularity and appropriate score fields; learned scores and numerical solvers add error.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yang Song; Jascha Sohl-Dickstein; Diederik P. Kingma; Abhishek Kumar; Stefano Ermon; Ben Poole
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.