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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2404.02896 |
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| _version_ | 1866910807654137856 |
|---|---|
| author | Zimmer, Michael F. |
| author_facet | Zimmer, Michael F. |
| contents | The paper [1] by Liu, Madhavan, and Tegmark sought to use machine learning methods to elicit known conservation laws for several systems. However, in their example of a damped 1D harmonic oscillator they made seven serious errors, causing both their method and result to be incorrect. In this Comment, those errors are reviewed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02896 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comment on "Machine learning conservation laws from differential equations" Zimmer, Michael F. Machine Learning The paper [1] by Liu, Madhavan, and Tegmark sought to use machine learning methods to elicit known conservation laws for several systems. However, in their example of a damped 1D harmonic oscillator they made seven serious errors, causing both their method and result to be incorrect. In this Comment, those errors are reviewed. |
| title | Comment on "Machine learning conservation laws from differential equations" |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2404.02896 |