2 papers
cs.LG2026
Causal discovery for linear causal model with correlated noise: an Adversarial Learning Approach
Mujin Zhou, Junzhe Zhang
Causal discovery from data with unmeasured confounding factors is a challenging problem. This paper proposes an approach based on the f-GAN framework, learning the binary causal st…
nucl-th2025
New level density parameter beyond Egidy-Bucurescu's systematics
Junzhe Zhang, Yanan Zheng, Caixin Yuan +2
Extending beyond the Egidy-Bucurescu systematics, the nuclear level density parameters (LDPs) for the back-shifted Fermi gas model were compiled. Three forms of LDPs were fitted: t…