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Related papers: ABCD of Beta Ensembles and Topological Strings

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We calculate explicit formulae for the Shannon entropies of several families of tailored random graph ensembles for which no such formulae were as yet available, in leading orders in the system size. These include bipartite graph ensembles…

Disordered Systems and Neural Networks · Physics 2014-04-24 Ekaterina Roberts , Ton Coolen

Some facts about von Neumann algebras and finite index inclusions of factors are viewed in the context of local quantum field theory. The possibility of local fields intertwining superselection sectors with braid group statistics is…

High Energy Physics - Theory · Physics 2007-05-23 K. -H. Rehren

The inner representation of deep neural networks (DNNs) is indecipherable, which makes it difficult to tune DNN models, control their training process, and interpret their outputs. In this paper, we propose a novel approach to investigate…

Machine Learning · Computer Science 2021-06-08 Satoru Watanabe , Hayato Yamana

One of the most intriguing aspects of Chern-Simons-type topological models is the fractional statistics of point particles which has been shown essential for our understanding of the fractional quantum Hall effects. Furthermore these ideas…

High Energy Physics - Theory · Physics 2015-06-25 C. A. S. Almeida

We demonstrate the equivalence of all loop closed topological string amplitudes on toric local Calabi-Yau threefolds with computations of certain knot invariants for Chern-Simons theory. We use this equivalence to compute the topological…

High Energy Physics - Theory · Physics 2015-06-26 Mina Aganagic , Marcos Marino , Cumrun Vafa

Semantic segmentation consists in classifying each pixel of an image by assigning it to a specific label chosen from a set of all the available ones. During the last few years, a lot of attention shifted to this kind of task. Many computer…

Computer Vision and Pattern Recognition · Computer Science 2021-12-28 Loris Nanni , Daniela Cuza , Alessandra Lumini , Andrea Loreggia , Sheryl Brahnam

We compute some normalized structure constants in the $\eta$-deformed $AdS_5\times S^5$ in the framework of the semiclassical approach. This is done for the cases when the "heavy" string states are finite-size giant magnons carrying one…

High Energy Physics - Theory · Physics 2016-01-12 Plamen Bozhilov

The Bernoulli convolution associated to the real $\beta>1$ and the probability vector $(p_0,..,p_{d-1})$ is a probability measure $\eta_{\beta,p}$ on $\mathbb R$, solution of the self-similarity relation…

Dynamical Systems · Mathematics 2014-10-09 Alain Thomas

Topological Data Analysis (TDA) is an emergent field that aims to discover topological information hidden in a dataset. TDA tools have been commonly used to create filters and topological descriptors to improve Machine Learning (ML)…

Machine Learning · Computer Science 2022-02-07 Rolando Kindelan , José Frías , Mauricio Cerda , Nancy Hitschfeld

We investigate the entanglement structure of a generic $M$-particle Bethe wavefunction (not necessarily an eigenstate of an integrable model) on a 1d lattice by dividing the lattice into $L$ parts and decomposing the wavefunction into a sum…

Quantum Physics · Physics 2025-10-15 Subhayan Sahu , Guifre Vidal

We study geometric transitions for topological strings on compact Calabi-Yau hypersurfaces in toric varieties. Large N duality predicts an equivalence between topological open and closed string theories connected by an extremal transition.…

High Energy Physics - Theory · Physics 2007-05-23 Duiliu-Emanuel Diaconescu , Bogdan Florea

We study the relation between large N instantons and conventional instantons, focusing on matrix models and topological strings. We show that the resurgent properties of the perturbative series at fixed but arbitrary N, including the…

High Energy Physics - Theory · Physics 2024-03-22 Marcos Marino , Maximilian Schwick

Topological Data Analysis (TDA) is an emergent field that aims to discover topological information hidden in a dataset. TDA tools have been commonly used to create filters and topological descriptors to improve Machine Learning (ML)…

Machine Learning · Computer Science 2021-02-09 Rolando Kindelan , José Frías , Mauricio Cerda , Nancy Hitschfeld

We access the edge of Gaussian beta ensembles with one spike by analyzing high powers of the associated tridiagonal matrix models. In the classical cases beta=1, 2, 4, this corresponds to studying the fluctuations of the largest eigenvalues…

Probability · Mathematics 2017-06-27 Pierre Yves Gaudreau Lamarre , Mykhaylo Shkolnikov

We analyze statistical properties of the complex system with conditions which manifests through specific constraints on the column/row sum of the matrix elements. The presence of additional constraints besides symmetry leads to new…

Statistical Mechanics · Physics 2015-10-28 Pragya Shukla , Suchetana Sadhukhan

Tile B-splines in $\mathbb{R}^d$ are defined as autoconvolutions of the indicators of tiles, which are special self-similar compact sets whose integer translates tile the space $\mathbb{R}^d$. These functions are not piecewise-polynomial,…

Functional Analysis · Mathematics 2022-12-27 Tatyana Zaitseva

We calculate the topological string partition function to all genus on the conifold, in the presence of branes. We demonstrate that the partition functions for different brane backgrounds (smoothly connected along a quantum corrected moduli…

High Energy Physics - Theory · Physics 2010-10-27 Amir-Kian Kashani-Poor

In this paper, based on the notion of plane wave string/gauge theory duality, we explore the pp wave limit associated with the bosonic sector of $ \eta $ deformed superstrings propagating in $ (AdS_5 \times S^{5})_{\eta} $. Our analysis…

High Energy Physics - Theory · Physics 2018-05-08 Dibakar Roychowdhury

We compute the one-loop beta functions of the cosmological constant, Newton's constant and the topological mass in topologically massive supergravity in three dimensions. We use a variant of the proper time method supplemented by a simple…

High Energy Physics - Theory · Physics 2015-06-12 R. Percacci , M. J. Perry , C. N. Pope , E. Sezgin

A connected component labeling algorithm is developed for implicitly-defined domains specified by multivariate polynomials. The algorithm operates by recursively subdividing the constraint domain into hyperrectangular subcells until the…

Numerical Analysis · Mathematics 2022-11-29 Robert I. Saye