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Machine Learning: Science and Technology, 2023 In this note we present a fully information theoretic approach to renormalization inspired by Bayesian statistical inference, which we refer to as Bayesian renormalization.
David S Berman +2 more
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Holographic renormalization [PDF]
Nuclear Physics B, 2002 We systematically develop the procedure of holographic renormalization for RG flows dual to asymptotically AdS domain walls. All divergences of the on-shell bulk action can be cancelled by adding covariant local boundary counterterms determined by the near-boundary behavior of bulk fields.
BIANCHI, MASSIMO +2 more
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Exponential Renormalization [PDF]
Annales Henri Poincaré, 2010 revised version; accepted for publication in Annales Henri ...
Ebrahimi-Fard, Kurusch +1 more
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Mathematics in Engineering, 2022 This work presents models for homogenizing or finding the effective transport or mechanical properties of microscale composites formed from highly contrasting phases described on a grid.
Ben J. Ransom, Dean R. Wheeler
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Reconstruction of observed mechanical motions with artificial intelligence tools
New Journal of Physics, 2022 The goal of this paper is to determine the laws of observed trajectories assuming that there is a mechanical system in the background and using these laws to continue the observed motion in a plausible way.
Antal Jakovác +2 more
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Vacuum Interaction of Crossed Cosmic Strings
Universe, 2021 In this paper, we consider the vacuum energy of a scalar field in the spacetime of two non-parallel cosmic strings. To this end, we obtain metrics for orthogonal straight cosmic strings and for slightly nonparallel strings.
Irina G. Pirozhenko
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Physical Review D, 2012 We extend our previous study of the vector charmonium states within a renormalization approach with boundary conditions to the full spectrum of charmonium and bottomonium. On the light of the predicted spectrum we comply to assignments suggested in the literature. A comparison with the regularized quark model is also included.
J. Segovia +3 more
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The Problem of Renormalization of Chiral Nuclear Forces
Frontiers in Physics, 2020 Ever since quantum field theory was first applied to the derivation of nuclear forces in the mid-twentieth century, the renormalization of pion exchange with realistic couplings has presented a challenge.
U. van Kolck, U. van Kolck
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Multigrid renormalization [PDF]
Journal of Computational Physics, 2018 We combine the multigrid (MG) method with state-of-the-art concepts from the variational formulation of the numerical renormalization group. The resulting MG renormalization (MGR) method is a natural generalization of the MG method for solving partial differential equations.
Lubasch, M, Moinier, P, Jaksch, D
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Optimizing Expected Shortfall under an ℓ1 Constraint—An Analytic Approach
Entropy, 2021 Expected Shortfall (ES), the average loss above a high quantile, is the current financial regulatory market risk measure. Its estimation and optimization are highly unstable against sample fluctuations and become impossible above a critical ratio r=N/T ...
Gábor Papp, Imre Kondor, Fabio Caccioli
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