Author

Dong Ni

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Preprint Oct 2026

NAGO: Noise-Aware Generative Operator via Flow Matching

We introduce NAGO, a noise-aware generative operator for efficient sampling from invariant measures of stochastic partial differential equations (SPDEs) in function space. Our central idea is to treat the source measure as a design variable rather than a fixed Gaussian default. We establish admissibility conditions for...

Guan-Yu Chen, Sheng-Ze Xu, Peng-Wei Liu et al. · 0 citations

#machine learning Preprint Sep 2026

NEMSim: Learning Control-Conditioned Multi-Event Physical Dynamics via Executable Event-Mechanism Priors

NEMSim (Neural Event-Mechanism Simulator), which compiles predefined event-attribute descriptions into an executable transition structure linking control-dependent event intensities, prior-guided mechanism attribution, and state-dependent responses, is proposed.

Jun-Song Yu, Jun-Jie Xie, Peng-Wei Liu et al. · 0 citations

Open access Aug 2026

An efficient graph-transformer operator for learning physical dynamics with manifolds embedding

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