2 papers
cs.LG2026
Kolmogorov-Arnold Reservoir Computing
Juntian Huang, Jürgen Kurths, Ying Tang
Reservoir computing offers a lightweight framework for forecasting dynamical systems but may struggle to capture long-range dependencies due to limited representational capacity. C…
cond-mat.stat-mech2025
Efficient Optimization of Variational Autoregressive Networks with Natural Gradient
Jing Liu, Ying Tang, Pan Zhang
Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-learning-based methods, particularly the variational autoregressive networks (VANs) have…