Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees
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<p>Datasets for&nbsp;</p>
<p><span style="font-size:12pt"><span new="" roman="" style="font-family:" times="">Zecheng Zhang, Hao Liu, Wenjing Liao, <b>Guang Lin</b>, Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees, Philosophical Transactions A, in press, 2025.</span></span></p>
<p><span style="font-size:12pt"><span style="text-autospace:none"><span new="" roman="" style="font-family:" times=""><a href="https://arxiv.org/abs/2503.08642" style="color:blue; text-decoration:underline">https://arxiv.org/abs/2503.08642</a></span></span></span></p>
提供机构：
Purdue University Research Repository
创建时间：
2025-08-04
