Fetching the paper…
Reading the bibliography…
In this note we present a fully information theoretic approach to renormalization inspired by Bayesian statistical inference, which we refer to as Bayesian Renormalization.
E. T. Jaynes, Information theory and statistical mechanics
1957
Earlier work this paper cites.
L. P. Kadanoff, Scaling laws for Ising models near t c
1966
Earlier work this paper cites.
K. G. Wilson, Renormalization group and critical phenomena. i. renormalization group and the kadanoff scaling picture
1971
Earlier work this paper cites.
M. Takesaki, Conditional expectations in von Neumann algebras
1972
Earlier work this paper cites.
F. J. Wegner and A. Houghton, Renormalization group equation for critical phenomena
1973
Earlier work this paper cites.
K. G. Wilson and J. Kogut, The renormalization group and the ϵ \epsilon expansion
1974
Earlier work this paper cites.
B. D. Anderson, Reverse-time diffusion equation models
1982
Earlier work this paper cites.
J. Polchinski, Renormalization and effective lagrangians
1984
Earlier work this paper cites.
A. B. Zamolodchikov, Irreversibility of the flux of the renormalization group in a 2d field theory
1986
Earlier work this paper cites.
T. R. Morris, Derivative expansion of the exact renormalization group
1994
Earlier work this paper cites.
T. R. Morris, The exact renormalization group and approximate solutions
1994
Earlier work this paper cites.
M. E. Peskin, D. V. Schroeder, and E. Martinec, An Introduction to Quantum Field Theory
1996
Earlier work this paper cites.
T. R. Morris, Elements of the continuous renormalization group
1998
Earlier work this paper cites.
E. Alvarez and C. Gomez, Geometric holography, the renormalization group and the c-theorem
1999
Earlier work this paper cites.
J. I. Latorre and T. R. Morris, Exact scheme independence
2000
Earlier work this paper cites.
American Mathematical Soc., 2000
S.-i. Amari and H. Nagaoka, Methods of information geometry · 2000
Earlier work this paper cites.
C. Bagnuls and C. Bervillier, Exact renormalization group equations: an introductory review
2001
Earlier work this paper cites.
2001
Earlier work this paper cites.
R. M. Neal, Annealed importance sampling
2001
Earlier work this paper cites.
Cambridge university press, 2003
E. T. Jaynes, Probability theory: The logic of science · 2003
Earlier work this paper cites.
Ö. Legeza and J. Sólyom, Quantum data compression, quantum information generation, and the density-matrix renormalization-group method
2004
Earlier work this paper cites.
Springer, 2004
L. Wasserman, All of statistics: a concise course in statistical inference · 2004
Earlier work this paper cites.
T. R. Morris and O. J. Rosten, Manifestly gauge invariant QCD
2006
Earlier work this paper cites.
H. Casini and M. Huerta, A c-theorem for entanglement entropy
2007
Earlier work this paper cites.
J. Halverson, A. Maiti, and K. Stoner, Neural Networks and Quantum Field Theory
2008
Earlier work this paper cites.
T. Faulkner, The holographic map as a conditional expectation
2008
Cited alongside, same era.
2008
Cited alongside, same era.
J. Cardy, Introduction to quantum field theory
2010
Cited alongside, same era.
R. C. Myers and A. Sinha, Seeing a c-theorem with holography
2010
Cited alongside, same era.
C. Strandkvist, P. Chvykov, and M. Tikhonov, Beyond RG: from parameter flow to metric flow
2011
Cited alongside, same era.
H. W. Lin, M. Tegmark, and D. Rolnick, Why Does Deep and Cheap Learning Work So Well?
2017
Later among the works it cites.
2017
Later among the works it cites.
D. P. Kingma and J. Ba, Adam: A method for stochastic optimization
2017
Later among the works it cites.
H. Casini, E. Testé, and G. Torroba, Markov property of the conformal field theory vacuum and the a theorem
2017
Later among the works it cites.
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2012
Cited alongside, same era.
2012
Cited alongside, same era.
K. Furuya, N. Lashkari, and S. Ouseph, Real-space RG, error correction and petz map
2012
Cited alongside, same era.
B. Swingle, Entanglement renormalization and holography
2012
Cited alongside, same era.
2012
Cited alongside, same era.
A. Gelman and C. R. Shalizi, Philosophy and the practice of bayesian statistics
2013
Cited alongside, same era.
2013
Cited alongside, same era.
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
2019
Later among the works it cites.
F. Nielsen, An elementary introduction to information geometry
2020
Later among the works it cites.
M. Matsumoto, G. Tanaka, and A. Tsuchiya, The renormalization group and the diffusion equation
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
J. Erdmenger, K. Grosvenor, and R. Jefferson, Information geometry in quantum field theory: lessons from simple examples
2020
Later among the works it cites.
J. Erdmenger, K. T. Grosvenor, and R. Jefferson, Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
2021
Later among the works it cites.
D. Kingma, T. Salimans, B. Poole, and J. Ho, Variational diffusion models
2021
Later among the works it cites.
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever, Zero-shot text-to-image generation
2021
Later among the works it cites.
T. George, NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch
2021
Later among the works it cites.
2022
Later among the works it cites.
2022
Later among the works it cites.
P. Fleig and I. Nemenman, Statistical properties of large data sets with linear latent features
2022
Later among the works it cites.
L. V. Jospin, H. Laga, F. Boussaid, W. Buntine, and M. Bennamoun, Hands-on bayesian neural networks—a tutorial for deep learning users
2022
Later among the works it cites.
F. Wegner, Some invariance properties of the renormalization group
2098
Closest in time.