AI RESEARCH
Replay-Based Continual Learning for Physics-Informed Neural Operators
arXiv CS.LG
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ArXi:2605.04832v1 Announce Type: new Neural operators generally nstrate strong predictive performance on in-distribution (ID) problems. However, a critical limitation of existing methods is their significant performance degradation when encountering out-of-distribution (OOD) data. To address this issue, this work