6 citations · 6 across the 9 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
LE-PDE++: Mamba for accelerating PDEs Simulations
Aoming Liang, Zhaoyang Mu, Qi liu +3
Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is desig…
cs.LG2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Shuhao Cao, Francesco Brarda, Ruipeng Li +1
Recent advancements in operator-type neural networks have shown promising results in approximating the solutions of spatiotemporal Partial Differential Equations (PDEs). However, t…
cs.LG2022
Multilevel-in-Layer Training for Deep Neural Network Regression
Colin Ponce, Ruipeng Li, Christina Mao +1
A common challenge in regression is that for many problems, the degrees of freedom required for a high-quality solution also allows for overfitting. Regularization is a class of st…