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nucl-th2025
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data
Kenji Fukushima, Syo Kamata
We study the performance of the Topological Uncertainty (TU) constructed with a trained feedforward neural network (FNN) for Anomaly Detection. Generally, meaningful information ca…
nucl-th2024★ 1 cited
Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state
Yuki Fujimoto, Kenji Fukushima, Syo Kamata +1
We discuss the machine-learning inference and uncertainty quantification for the equation of state (EoS) of the neutron star (NS) matter directly using the NS probability distribut…