Academic research paper on Distill-Belief, a technique for closed-loop inverse source localization and characterization in physical fields. Arxiv preprint combining deep learning with inverse problem solving.
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Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields
Distill-Belief applies closed-loop deep learning to inverse source localization, training neural networks to iteratively identify and characterize hidden sources in physical fields.
Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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