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Showing 1 to 2 of 2 for “"Invertible Neural Networks"”.
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Solving Forward and Inverse Problems for Seismic Imaging using Invertible Neural Networks
… and propose a novel approach based on Invertible Neural Networks. This type of neural network is designed to learn bijective mappings between the input and target distributions and hence they present a potential solution to solve forward and inverse problems jointly. In this thesis, we …
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Advances in Symbolic Regression: From Generalized Formulation to Density Estimation and Inverse Problem
… complex inscrutable black box regressors such as neural networks. In essence, SR searches the space of mathematical expressions to find a model that best captures the relationship between inputs and outputs of a given dataset. While SR has not gained mainstream popularity due to its computational …