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cs.LG2026
Neural operator discovery from heterogeneous trajectories
Zituo Chen, Qiaofeng Li, Jiaxin Hu +1
Neural operators provide data-driven mappings for modeling dynamical systems. Extending them to families of systems typically requires explicit conditioning variables such as physi…
cs.LG2026
Flow marching for a generative PDE foundation model
Zituo Chen, Sili Deng
Pretraining on large-scale collections of PDE-governed spatiotemporal trajectories has recently shown promise for building generalizable models of dynamical systems. Yet most exist…
cs.LG2026
GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting
Linzheng Wang, Jason Chen, Nicolas Tricard +2
Digital twins of complex physical systems are expected to infer unobserved states from sparse measurements and predict their evolution in time, yet these two functions are typicall…