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20202024
most citedSystem Identification Through Lipschitz Regularized Deep Neural Networks

14 citations · 16 across the 4 of their papers we have counts for

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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…