Yan-dong Chen

Using 1701 Type Ia supernovae, the KLT-Net neural network reconstructs distance modulus for the first time without relying on cosmological models. The harmony of three architectures—KAN, LSTM, and Transformer—captures both local nuances and the global rhythm of expansion. The result: Hubble constant