#physics‑guided learning

topicphysics‑guided learning

2 papers · 1 filter

cs.CV2026

DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

Pengkun Wang, Weijia Cao, Ning Wang +1

The paper proposes DAPGNet, a graph diffusion network that incorporates physical priors from contiguous spectral bands to improve hyperspectral image classification, using adaptive…

cs.LG2026

Trajectory-Aware Flow Matching for Topology Optimisation

Shusheng Xiao, Jinshuai Bai, Hyogu Jeong +3

The paper introduces a flow‑matching based generative framework for topology optimisation that incorporates physics‑guided intermediate states via a trajectory‑aware formulation, e…