396 citations · 673 across the 27 of their papers we have counts for
4 papers · 1 filter
TWIG: A Time-Causal Wavelet Operator for Autoregressive Forecasting on Irregular Graphs
Subashree Venkatasubramanian, David A. Barajas-Solano, Chuyang Liu +2
We introduce TWIG (Time-Causal Wavelet Operator for Irregular Graphs), a graph-native neural operator for autoregressive surrogate modeling on static irregular graphs. TWIG transfo…
Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows
Jice Zeng, Shady E. Ahmed, David Barajas-Solano +1
Reduced-order models (ROMs) provide efficient surrogates for complex multiscale systems, but their predictive accuracy is often compromised by truncation errors and the inadequate…
Statistical Learning Analysis of Physics-Informed Neural Networks
David A. Barajas-Solano
We study the training and performance of physics-informed learning for initial and boundary value problems (IBVP) with physics-informed neural networks (PINNs) from a statistical l…
Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning
Jice Zeng, David Barajas-Solano, Hui Chen
The performance of machine learning surrogates is critically dependent on data quality and quantity. This presents a major challenge, as high-fidelity (HF) data is often scarce and…