A novel two-stage training framework for provably stable neural network observers that decouples the optimization into a point-guided Lyapunov pre-training phase, which rapidly achieves high estimation accuracy and local stability over sampled states and an LMI fine-tuning phase that efficiently satisfies a strict glob...
Zhang-Yi Wang, Jia-Xu Liu, Chen Song et al.· 0 citations
An efficient graph-transformer operator, named PhysGTO, is shown for learning physical dynamics through explicit manifold embeddings in both physical and latent spaces, showing strong flexibility, scalability, and generalization across diverse physical systems.
Peng-Wei Liu, Xingyu Ren, Peng-Kai Wang et al.· Communications AI & Computin...· 0 citations
DART (Decoded Attention over Recurrent sTates), which retains the chunk state contributions produced by the Mamba-2 chunked scan as chunk state memories, decodes token-conditioned keys and values from these memories, and performs state-memory attention (SMA) over the resulting KV pairs.
Yixiao Qian, Song Chen, Pengkai Wang et al.· 0 citations
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