3 papers
math.OC2026
Sparse Recovery via Minimization
Lang Yu, Nan-jing Huang
The weighted difference of squared norms (WDSN) penalty with has attracted considerable attention due to its strong sparsity-promoting ability…
cs.LG2025
Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness
Chaoyang Luo, Yan Zou, Nanjing Huang
Despite Neural Ordinary Differential Equations (Neural ODEs) exhibiting intrinsic robustness, existing methods often impose Lyapunov stability for formal guarantees. However, these…
math.OC2024
FxTS-Net: Fixed-Time Stable Learning Framework for Neural ODEs
Chaoyang Luo, Yan Zou, Wanying Li +1
Neural Ordinary Differential Equations (Neural ODEs), as a novel category of modeling big data methods, cleverly link traditional neural networks and dynamical systems. However, it…