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arXiv — cs.AI

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标题为英语Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure

arXiv:2610.37731v1 Announce Type: new Abstract: Model discrepancy may prevent a single calibration parameter from reproducing a physical response across the context domain. In addition, uncertainties in observations and contexts affect calibration and must be accounted for and…

arXiv — cs.AI作者: Exauc\'e Luweh Adjim Ngarti (AIRSEA), \'Elise Arnaud (AIRSEA), L\'eo Nicoletti (Mines Saint-\'Etienne MSE, LIMOS, FAYOL-ENSMSE, FAYOL-ENSMSE), Victor Trappler (Mines Saint-\'Etienne MSE, LIMOS, FAYOL-ENSMSE, FAYOL-ENSMSE), Arthur Vidard (AIRSEA)2026年10月30日 (14小时前)
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  • arXiv:2610.37731v1 Announce Type: new Abstract: Model discrepancy may prevent a single calibration parameter from reproducing a physical response across the context domain
  • In addition, uncertainties in observations and contexts affect calibration and must be accounted for and…
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Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure

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