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A rate-distortion problem motivated by the consideration of semantic information is formulated and solved.
C. E. Shannon, “A mathematical theory of communication,” Bell Syst. Tech. J
1948
Earlier work this paper cites.
Y. Bar-Hillel and R. Carnap, “Semantic information,” British J. Philosophy Science
1953
Earlier work this paper cites.
R. L. Dobrushin and B. S. Tsybakov, “Information transmission with additional noise,” IRE Trans. Inform. Theory
1962
Earlier work this paper cites.
J. K. Wolf and J. Ziv, “Transmission of noisy information to a noisy receiver with minimum distortion,” IEEE Trans. Inform. Theory
1970
Earlier work this paper cites.
T. Berger, Rate Distortion Theory
1971
Earlier work this paper cites.
H. S. Witsenhausen, “Indirect rate distortion problems,” IEEE Trans. Inform. Theory
1980
Earlier work this paper cites.
A. El Gamal and T. M. Cover, “Achievable rates for multiple descriptions,” IEEE Trans. Inform. Theory
1982
Earlier work this paper cites.
A. Lapidoth, “On the role of mismatch in rate distortion theory,” IEEE Trans. Inform. Theory
1997
Earlier work this paper cites.
N. Tishby, F. C. Pereira, and W. Bialek, “The information bottleneck method,” in Proc. Allerton Conf. Commun. Control Comput
1999
Cited alongside, same era.
L. Floridi, “Outline of a theory of strongly semantic information,” Minds and Machines
2004
Cited alongside, same era.
T. M. Cover and J. A. Thomas, Elements of Information Theory
2006
Cited alongside, same era.
J. Bao et. al
2011
Cited alongside, same era.
B. Juba, Universal Semantic Communication
2011
Cited alongside, same era.
I. Csiszár and J. Körner, Information Theory: Coding Theorems for Discrete Memoryless Systems
2011
Cited alongside, same era.
P. Popovski et. al
2019
Later among the works it cites.
N. Shlezinger, Y. C. Eldar and M. R. D. Rodrigues, “Hardware-limited task-based quantization,” IEEE Trans. Signal Process
2019
Later among the works it cites.
Y. Blau and T. Michaeli, “Rethinking lossy compression: The rate-distortion-perception tradeoff,” in Proc. Int. Conf. Machine Learning (ICML)
2019
Later among the works it cites.
M. Kountouris and N. Pappas, “Semantics-empowered communication for networked intelligent systems,” arxiv: 2007.11579, 2020
2020
Later among the works it cites.
Z. Goldfeld and Y. Polyanskiy, “The information bottleneck problem and its applications in machine learning,” IEEE J. Select. Area. Inform. Theory
2020
Later among the works it cites.
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A. Makhdoumi, S. Salamatian, N. Fawaz and M. Médard, “From the information bottleneck to the privacy funnel,” in IEEE Inform. Theory Workshop (ITW)
2014
Cited alongside, same era.
S. Shalev-Shwartz and S. Ben-David, Understanding Machine Learning: From Theory to Algorithms
2014
Cited alongside, same era.
Y. Y. Shkel, R. S. Blum and H. V. Poor, “Secrecy by design with applications to privacy and compression,” IEEE Trans. Inform. Theory
2021
Closest in time.
A. Kipnis, S. Rini, and A. J. Goldsmith, “The rate-distortion risk in estimation from compressed data,” IEEE Trans. Inform. Theory
2021
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