Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events
cs.LG, math.DS, physics.ao-ph
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Fourier Neural Operator for Parametric Partial Differential Equations
- DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
- Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
- P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
- Training neural operators to preserve invariant measures of chaotic attractors
- True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
- A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
- Statistics of extreme events in coarse-scale climate simulations via machine learning correction operators trained on nudged datasets
- FiLM: Visual Reasoning with a General Conditioning Layer
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