1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions
Elisa Negrini, Yuxuan Liu, Liu Yang +2
Neural networks are one tool for approximating non-linear differential equations used in scientific computing tasks such as surrogate modeling, real-time predictions, and optimal c…
cs.LG2024
Neural Networks for Threshold Dynamics Reconstruction
Elisa Negrini, Almanzo Jiahe Gao, Abigail Bowering +2
We introduce two convolutional neural network (CNN) architectures, inspired by the Merriman-Bence-Osher (MBO) algorithm and by cellular automatons, to model and learn threshold dyn…
stat.ML2023
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems
Pelin Ersin, Emma Hayes, Peter Matthews +3
Neural networks have become a powerful tool as surrogate models to provide numerical solutions for scientific problems with increased computational efficiency. This efficiency can…