Zobrazeno 1 - 10
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pro vyhledávání: '"Uncertainty Quantification"'
We propose a Stein variational gradient descent method to concurrently sparsify, train, and provide uncertainty quantification of a complexly parameterized model such as a neural network. It employs a graph reconciliation and condensation process to
Externí odkaz:
http://arxiv.org/abs/2412.16462
We introduce GenAI4UQ, a software package for inverse uncertainty quantification in model calibration, parameter estimation, and ensemble forecasting in scientific applications. GenAI4UQ leverages a generative artificial intelligence (AI) based condi
Externí odkaz:
http://arxiv.org/abs/2412.07026