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20182023
most citedB-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data

1.2k citations · 1.5k across the 15 of their papers we have counts for

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cs.LG2023★ 52 cited

In-Context Operator Learning with Data Prompts for Differential Equation Problems

Liu Yang, Siting Liu, Tingwei Meng +1

This paper introduces a new neural-network-based approach, namely In-Context Operator Networks (ICON), to simultaneously learn operators from the prompted data and apply it to new…