3 papers
math.NA2025
PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations
Zhanhong Ye, Zining Liu, Bingyang Wu +7
Partial differential equations (PDEs) play a central role in describing many physical phenomena. Various scientific and engineering applications demand a versatile and differentiab…
stat.ML2024
Amortized Variational Inference for Deep Gaussian Processes
Qiuxian Meng, Yongyou Zhang
Gaussian processes (GPs) are Bayesian nonparametric models for function approximation with principled predictive uncertainty estimates. Deep Gaussian processes (DGPs) are multilaye…
cs.LG2024
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
Nian Ran, Peng Xiao, Yue Wang +4
The application of large deep learning models in weather forecasting has led to significant advancements in the field, including higher-resolution forecasting and extended predicti…