ScholarGate
Msaidizi
Machine learning

Muundo wa Uzalishaji unaotegemea Alama

Muundo wa uzalishaji unaotegemea alama, ulioanzishwa na Yang Song na Stefano Ermon mwaka 2019 na kuunganishwa katika mfumo wa milinganyo ya hisabati ya stochastic (SDE) mwaka 2021, hujifunza mwelekeo wa msongamano wa data — alama — badala ya kutabiri kelele moja kwa moja, na huutumia kuzalisha sampuli mpya. Ni muunganisho wa hisabati unaounganisha miundo ya kuenea chini ya muundo wa muda unaoendelea.

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Vyanzo

  1. Song, Y. & Ermon, S. (2019). Generative Modeling by Estimating Gradients of the Data Distribution. NeurIPS 32, 11895–11907. link
  2. Song, Y. et al. (2021). Score-Based Generative Modeling through Stochastic Differential Equations. ICLR. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Score-Based Generative Modeling through Stochastic Differential Equations. ScholarGate. https://scholargate.app/sw/deep-learning/score-based-diffusion

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateScore-Based Generative Model (Score-Based Generative Modeling through Stochastic Differential Equations). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/score-based-diffusion · Seti ya data: https://doi.org/10.5281/zenodo.20539026