A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM

A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction

A new hybrid framework combining Deep Operator Networks and Neural Tangent Kernel has been introduced to tackle complex inverse problems like source localization and image reconstruction. This innovative approach not only addresses challenges such as nonlinearity and noisy data but also incorporates physics-informed constraints, making it a significant advancement in the field. Its ability to enhance accuracy in these tasks could lead to breakthroughs in various applications, from engineering to medical imaging.

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