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cs.LG2026
PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Hira Saleem, Flora Salim, Cormac Purcell
Operational weather prediction has long relied on physics-based numerical weather prediction (NWP), whose accuracy comes at the cost of substantial compute and complex simulation w…
cs.LG2025
STC-ViT: Spatio Temporal Continuous Vision Transformer for Medium-range Global Weather Forecasting
Hira Saleem, Flora Salim, Cormac Purcell
Operational Numerical Weather Prediction (NWP) system relies on computationally expensive physics-based models. Recently, transformer models have shown remarkable potential in weat…
cs.LG2025
Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks
Stephen Smith, Cormac Purcell, Zdenka Kuncic
Earth observations from low Earth orbit satellites provide vital information for decision makers to better manage time-sensitive events such as natural disasters. For the data to b…