Efficiency Bound of Learning with Coarse Graining
Article Properties
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DOI (url)
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Publication Date2023/11/01
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Journal
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Indian UGC (journal)
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Refrences33
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Minghao 明昊 Li 李
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Shihao 世豪 Xia 夏
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Youlin 有林 Wang 王
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Minglong 明龙 Lv 律
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Jincan 金灿 Chen 陈
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Shanhe 山河 Su 苏
Abstract
Cite
Li 李 Minghao 明昊, et al. “Efficiency Bound of Learning With Coarse Graining”. Chinese Physics Letters, vol. 40, no. 11, 2023, p. 110501, https://doi.org/10.1088/0256-307x/40/11/110501.
Li 李 M. 明., Xia 夏 S. 世., Wang 王 Y. 有., Lv 律 M. 明., Chen 陈 J. 金., & Su 苏 S. 山. (2023). Efficiency Bound of Learning with Coarse Graining. Chinese Physics Letters, 40(11), 110501. https://doi.org/10.1088/0256-307x/40/11/110501
Li 李 M明, Xia 夏 S世, Wang 王 Y有, Lv 律 M明, Chen 陈 J金, Su 苏 S山. Efficiency Bound of Learning with Coarse Graining. Chinese Physics Letters. 2023;40(11):110501.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Thermodynamic uncertainty relations constrain non-equilibrium fluctuations | Nature Physics |
| 265 | 2020 |
| Fundamental Relation Between Entropy Production and Heat Current | Journal of Statistical Physics |
| 21 | 2019 |
| The free-energy cost of accurate biochemical oscillations | Nature Physics |
| 105 | 2015 |
| Experimental verification of Landauer’s principle linking information and thermodynamics | Nature |
| 645 | 2012 |
| 10.1038/nphys1821 | Nature Physics |
| 2010 |
Refrences Analysis
The category
Science: Physics 39
is the most frequently represented among the references in this article. It primarily includes studies from Physical Review Letters The chart below illustrates the number of referenced publications per year.