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code for numerical experiment of Learning to Simulate Sequentially-Generated Data via Neural Networks and Wasserstein Training

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Sequential-code

Code for numerical experiment of Learning to Simulate Sequentially-Generated Data via Neural Networks and Wasserstein Training. To train the sequential simulator, use notebook 'Training-unspecified_network'. Trained network parameters for multi-dimensional Heston and multi-dimensional polynomial are stored in the file 'Network results'.

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code for numerical experiment of Learning to Simulate Sequentially-Generated Data via Neural Networks and Wasserstein Training

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