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4. Estimation Of Post-Nonlinear Causal Models Using Autoencoding Structure

Estimation Of Post-Nonlinear Causal Models Using Autoencoding Structure

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IEEE ICASSP 2020 Virtual Conference May 2020

Discovering causal relations in complex systems is an important problem in many research fields. To describe such systems involving nonlinear causal relations, the post-nonlinear (PNL) causal model has been proposed. However, despite its identifiability,

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Estimation Of Post-Nonlinear Causal Models Using Autoencoding Structure

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Discovering causal relations in complex systems is an important problem in many research fields. To describe such systems involving nonlinear causal relations, the post-nonlinear (PNL) causal model has been proposed. However, despite its identifiability,