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Related papers: Learning geometries beyond asymptotic AdS

200 papers

We study Kac-Moody asymptotic symmetries and memory effects in $\text{AdS}_4^{\text{Poincare}}$ gauge theory and (when accompanied by 4D gravity) in its holographic CFT$_3$ dual. While such infinite-dimensional symmetries are absent in…

High Energy Physics - Theory · Physics 2019-03-11 Rashmish K. Mishra , Arif Mohd , Raman Sundrum

Lifshitz space-times with critical exponent z=2 can be obtained by dimensional reduction of Schroedinger space-times with critical exponent z=0. The latter space-times are asymptotically AdS solutions of AdS gravity coupled to an…

High Energy Physics - Theory · Physics 2015-06-05 Wissam Chemissany , David Geissbühler , Jelle Hartong , Blaise Rollier

We investigate second-order gravitational perturbations in asymptotically AdS black branes, developing a gauge-invariant framework to compute the amplitude ratio between quadratic and linear quasi-normal modes. Our analysis reveals resonant…

General Relativity and Quantum Cosmology · Physics 2025-09-23 Wen-Bin Pan , Zhangping Yu , Yi Ling

Volumetric imaging by fluorescence microscopy is often limited by anisotropic spatial resolution from inferior axial resolution compared to the lateral resolution. To address this problem, here we present a deep-learning-enabled…

Computer Vision and Pattern Recognition · Computer Science 2022-07-06 Hyoungjun Park , Myeongsu Na , Bumju Kim , Soohyun Park , Ki Hean Kim , Sunghoe Chang , Jong Chul Ye

We revisit AdS$_2$ holography with the Sachdev-Ye-Kitaev models in mind. Our main result is to rewrite a generic theory of gravity near an AdS$_2$ throat as a novel hydrodynamics coupled to the correlation functions of a conformal quantum…

High Energy Physics - Theory · Physics 2016-12-15 Kristan Jensen

Grokking -- the abrupt transition from memorization to generalization after extended training -- has been linked to the emergence of low-dimensional structure in learning dynamics. Yet neural network parameters inhabit extremely…

Machine Learning · Computer Science 2026-02-24 Yongzhong Xu

This paper shows that the bulk metric of a planar/spherically/hyperbolically symmetric asymptotically anti-de Sitter static black brane/hole can be reconstructed from its boundary frequency 2-point correlation functions of two probe scalar…

High Energy Physics - Theory · Physics 2025-12-03 Bo-Wen Fan , Run-Qiu Yang

We present a mathematical framework which underlies the connection between information theory and the bulk spacetime in the AdS$_3$/CFT$_2$ correspondence. A key concept is kinematic space: an auxiliary Lorentzian geometry whose metric is…

High Energy Physics - Theory · Physics 2015-05-22 Bartlomiej Czech , Lampros Lamprou , Samuel McCandlish , James Sully

Light-cone cuts have recently been proposed as a method to reconstruct the conformal metric of a holographic spacetime. We explore how additional information about the bulk geometry gets encoded in the structure of these light-cone cuts. In…

High Energy Physics - Theory · Physics 2018-01-17 Gabriel Trevino

We consider the Wilson-Polchinski exact renormalization group applied to the generating functional of single-trace operators at a free-fixed point in $d=2+1$ dimensions. By exploiting the rich symmetry structure of free field theory, we…

High Energy Physics - Theory · Physics 2014-06-11 Robert G. Leigh , Onkar Parrikar , Alexander B. Weiss

Ventilated acoustic silencers combing sound attenuation with high ventilation are pivotal for advanced noise control. However, balancing attenuation, bandwidth, openness, and thickness remains a high-dimensional challenge. Here, we report a…

Applied Physics · Physics 2026-05-18 Zhiwei Yang , Mengyu Li , Xiaohang Xie , Ao Chen , Thomas G. Bifano , Xin Zhang

We report analytically known states at non-zero temperature which may serve as a powerful tool to reveal common topological and thermodynamic properties of systems ranging from the QCD phase diagram to topological phase transitions in…

High Energy Physics - Theory · Physics 2021-04-07 Casey Cartwright , Benjamin Harms , Matthias Kaminski

We calculate energy correlators in a holographic model incorporating elements of asymptotic freedom and confinement. We model a running coupling by considering a geometry with a warp factor that deviates logarithmically from anti-de Sitter…

High Energy Physics - Phenomenology · Physics 2025-11-07 Csaba Csáki , Ameen Ismail , Larissa Kiriliuk

The addition of Kounterterms to Einstein gravity leads to a finite action for asymptotically anti-de Sitter (AdS) spaces with a conformally flat boundary. In that sense, it provides a partial renormalization for AdS gravity when compared to…

High Energy Physics - Theory · Physics 2026-04-01 Giorgos Anastasiou , Jahaira Bonifacio-Chavez , Olivera Miskovic , Rodrigo Olea

At low energies, the microscopic characteristics and changes of physical systems as viewed at different distance scales are described by universal scale invariant properties investigated by the Renormalization Group (RG) apparatus, an…

General Physics · Physics 2018-04-03 Eric Howard

Four-dimensional cosmological models are studied on a boundary of a five-dimensional Anti-de Sitter (AdS_5) black hole with AdS Reissner-Nordstrom and scalar charged Reissner- Nordstrom black hole solutions, where we call the former a…

General Relativity and Quantum Cosmology · Physics 2021-11-17 Sunly Khimphun , Bum-Hoon Lee , Gansukh Tumurtushaa

We investigate a structure of a 4-dimensional bulk space constructed from the $O(N)$ invariant critical $\varphi^4$ model in 3-dimension using the conformal smearing. We calculate a bulk metric corresponding to the information metric and…

High Energy Physics - Theory · Physics 2024-11-12 Sinya Aoki , Kiyoharu Kawana , Kengo Shimada

Euclidean field theories admit more general deformations than usually discussed in quantum field theories because of mixing between rotational symmetry and internal symmetry (a.k.a topological twist). Such deformations may be relevant, and…

High Energy Physics - Theory · Physics 2017-03-22 Yu Nakayama

We present a theoretically well-founded deep learning algorithm for nonparametric regression. It uses over-parametrized deep neural networks with logistic activation function, which are fitted to the given data via gradient descent. We…

Statistics Theory · Mathematics 2025-04-14 Michael Kohler , Adam Krzyzak

In this paper, we explore the relationship between holographic Wilsonian renormalization groups and stochastic quantization in conformally coupled scalar theory in AdS$_{4}$. The relationship between these two different frameworks is…

High Energy Physics - Theory · Physics 2023-11-15 Jun Hyeok Lee , Jae-Hyuk Oh