STEP: extraction of underlying physics with robust machine learning
A prevalent class of challenges in modern physics are inverse problems, where physical quantities must be extracted from experimental measurements. End-to-end machine learning approaches to inverse problems typically require constructing sophisticated estimators to achieve the desired accuracy, larg...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2024-06-01
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| coleção: | Royal Society Open Science |
| Assuntos: | |
| Acesso em linha: | https://royalsocietypublishing.org/doi/10.1098/rsos.231374 |
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