1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Structure-preserving learning for multi-symplectic PDEs
Süleyman Yıldız, Pawan Goyal, Peter Benner
This paper presents an energy-preserving machine learning method for inferring reduced-order models (ROMs) by exploiting the multi-symplectic form of partial differential equations…
stat.ML2024★ 1 cited
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction
Celine Reddig, Pawan Goyal, Igor Pontes Duff +1
Model reduction is an active research field to construct low-dimensional surrogate models of high fidelity to accelerate engineering design cycles. In this work, we investigate mod…