most citedBeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2026★ 1 cited

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling

Chi-Jui Ho, Harsh Bhakta, Wei Xiong +1

High-dimensional hyperspectral imaging (HSI) enables the visualization of ultrafast molecular dynamics and complex, heterogeneous spectra. However, applying this capability to reso…

cs.LG2024★ 2 cited

BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics

Hao Wu, Xingjian Shi, Ziyue Huang +6

Data-driven deep learning has emerged as the new paradigm to model complex physical space-time systems. These data-driven methods learn patterns by optimizing statistical metrics a…