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© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. Tanaka et al., Deep Learning and Physics, Mathematical Physics Studies,
https://doi.org/10.1007/978-981-33-6108-9
199
1. Utiyama, R.: Theory of Relativity (in Japanese). Iwanami Shoten (1987)
2. Weinberg, S.: Scientist: four golden lessons. Nature 426(6965), 389 (2003)
3. Toyoda, T.: Physics of Information (in Japanese). Butsuri-no-Taneakashi. Kodansha (1997)
4. Amari, S.-I.: Information Theory (in Japanese). Chikuma Shobo (2011)
5. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423
(1948)
6. Bekenstein, J.D.: Black holes and entropy. Phys. Rev. D 7(8), 2333 (1973)
7. Hawking, S.W.: Particle creation by black holes. Commun. Math. Phys. 43(3), 199–220
(1975)
8. Sagawa, T., Ueda, M.: Information thermodynamics: Maxwell’s demon in nonequilibrium
dynamics. In: Nonequilibrium Statistical Physics of Small Systems: Fluctuation Relations
and Beyond, Wiley Online Library, pp. 181–211 (2013)
9. Wheeler, J.A.: Information, physics, quantum: The search for links. In: Proceedings of the 3rd
International Symposium on Foundations of Quantum Mechanics, Tokyo, 1989, pp. 354–368,
Physical Society of Japan (1990)
10. Nielsen, M.A., Chuang, I.L.: Quantum Computation and Quantum Information. Cambridge
University Press (2010)
11. Witten, E.: A mini-introduction to information theory. arXiv preprint arXiv:1805.11965
(2018)
12. Sanov, I.N.: On the probability of large deviations of random magnitudes. Matematicheskii
Sbornik 84(1), 11–44 (1957)
13. Sanov, I.N.: On the Probability of Large Deviations of Random Variables. United States Air
Force, Office of Scientific Research (1958)
14. Rosenberg, C.: The lenna story. www.lenna.org
15. Poundstone, W.: The Recursive Universe. Contemporary Books (1984)
16. Samuel, A.L.: Some studies in machine learning using the game of checkers. II – recent
progress. In: Computer Games I, pp. 366–400. Springer (1988)
17. Feynman, R.P., Leighton, R.B., Sands, M.: The Feynman Lectures on Physics: Mainly
Electromagnetism and Matter, vol. 2. Addison-Wesley, Reading. reprinted (1977)
18. LeCun, Y.: The mnist database of handwritten digits. http://yann.lecun.com/exdb/mnist/
(1998)
19. Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images. Technical
report, Citeseer (2009)
20. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer (2006)
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. Tanaka et al., Deep Learning and Physics, Mathematical Physics Studies,
https://doi.org/10.1007/978-981-33-6108-9
199