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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,878 papers · 148 categories

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48 results for modularity density

A new modularity density measure improves community detection in heterogeneous networks.

problem Detecting meaningful communities in heterogeneous networks.
method Formulated a novel metric, modularity density, for undirected, weighted networks.
result Maximization of modularity density is free from bias and better at detecting weakly-separated communities.

The paper corrects the use of the transverse density bundle in Lie groupoids.

problem Incorrect use of the transverse density bundle in Lie groupoids.
method Revisiting and clarifying the concepts of transverse density bundle and modular classes.
result The transverse density bundle should be used instead of the common representation QAQ_A.

Skew algebroid is a natural generalization of the concept of Lie algebroid. In this paper, for a skew algebroid E, its modular class mod(E) is defined in the classical as well as in the supergeometric formulation. It is proved that there is a homogeneous nowhere-vanishing 1-density on E* which is invariant with respect…

2011-08-11abs ↗pdf ↗

We investigate non-degenerate Lagrangians of the form f(ux,uy,ut)dxdydt \int f(u_x, u_y, u_t) dx dy dt such that the corresponding Euler-Lagrange equations (fux)x+(fuy)y+(fut)t=0 (f_{u_x})_x+ (f_{u_y})_y+ (f_{u_t})_t=0 are integrable by the method of hydrodynamic reductions. We demonstrate that the integrability conditions, which constitute an invol…

2007-07-23abs ↗pdf ↗

We show that the topological modular functor from Witten-Chern-Simons theory is universal for quantum computation in the sense a quantum circuit computation can be efficiently approximated by an intertwining action of a braid on the functor's state space. A computational model based on Chern-Simons theory at a fifth ro…

2000-01-29abs ↗pdf ↗

A new method simplifies sampling from complex distributions without using diffusions.

problem Sampling from complex, high-dimensional distributions efficiently.
method Reduces sampling to solving a sequence of 'nice' sampling problems using SLC distributions.
result Shows how to traverse backwards paths using high-accuracy routines for SLC distributions.

We consider odd Laplace operators acting on densities of various weight on an odd Poisson (= Schouten) manifold MM. We prove that the case of densities of weight 1/2 (half-densities) is distinguished by the existence of a unique odd Laplace operator depending only on a point of an ``orbit space'' of volume forms. This…

2002-05-18abs ↗pdf ↗

Study shows density of mapping classes on infinite-type surfaces using quasi-conformal maps.

problem Approximating mapping classes on infinite-type surfaces with quasi-conformal maps.
method Using hyperbolic structures and quasi-conformal homeomorphisms.
result Density of mapping classes on infinite-type surfaces can be achieved using quasi-conformal maps.

In this paper, we construct Laplace-Beltrami operators associated with arbitrary Riemannian metrics on noncommutative tori of any dimension. These operators enjoy the main properties of the Laplace-Beltrami operators on ordinary Riemannian manifolds. The construction takes into account the non-triviality of the group o…

2019-05-22abs ↗pdf ↗

Motivated by the local formulae for asymptotic expansion of heat kernels in spectral geometry, we propose a definition of Ricci curvature in noncommutative settings. The Ricci operator of an oriented closed Riemannian manifold can be realized as a spectral functional, namely the functional defined by the zeta function …

2016-12-20abs ↗pdf ↗

Survey of Monte Carlo methods for noisy, costly densities in reinforcement learning and ABC.

problem Dealing with intractable, costly, and noisy densities in real-world scenarios.
method Classification and description of Monte Carlo methodologies using surrogate models.
result Unified scheme and numerical comparisons of different methodologies.

A second order self-adjoint operator Δ=S2+UΔ=S\partial^2+U is uniquely defined by its principal symbol SS and potential UU if it acts on half-densities. We analyse the potential UU as a compensating field (gauge field) in the sense that it compensates the action of coordinate transformations on the second derivatives in…

2015-09-18abs ↗pdf ↗

Probabilistic inference procedures are usually coded painstakingly from scratch, for each target model and each inference algorithm. We reduce this effort by generating inference procedures from models automatically. We make this code generation modular by decomposing inference algorithms into reusable program-to-progr…

2016-03-06abs ↗pdf ↗

Proposes a deep neural network for multi-dimensional functional data classification.

problem Classifying multi-dimensional functional data with non-Gaussian distributions.
method Trains a deep neural network on the principle components of the training data.
result FDNN achieves minimax optimality when log density ratio has a locally connected modular structure.

MCMC methods for sampling from the space of DAGs can mix poorly due to the local nature of the proposals that are commonly used. It has been shown that sampling from the space of node orders yields better results [FK03, EW06]. Recently, Koivisto and Sood showed how one can analytically marginalize over orders using dyn…

2012-06-20abs ↗pdf ↗

We find and propose an explanation for a large variety of modularity-related symmetries in problems of 3-manifold topology and physics of 3d N=2\mathcal{N}=2 theories where such structures a priori are not manifest. These modular structures include: mock modular forms, SL(2,Z)SL(2,\mathbb{Z}) Weil representations, quantum mo…

2018-09-26abs ↗pdf ↗

Researchers found the global topology of the Eisenstein-Picard modular surface.

problem Understanding the global topology of the Eisenstein-Picard modular surface.
method Quotient space of the complex hyperbolic plane by the modular group.
result Determined the global topology of the Eisenstein-Picard modular surface as a 4-orbifold.

Study modular surfaces in Lorentz-Minkowski 3-space, classifying and analyzing their curvature and applications.

problem Understanding the curvature properties of modular surfaces in Lorentz-Minkowski space.
method Analyzing the sign of Gaussian and mean curvature, classifying surfaces, and applying to conformal field theories.
result Complete classification of zero Gaussian curvature modular surfaces and non-existence of non-planar maximal modular surfaces.

Modular neural networks generalize better with less data.

problem Theoretical and practical understanding of how modularity improves neural network generalization.
method Theoretical analysis of sample complexity, development of a novel learning rule.
result Modular networks require fewer samples to generalize compared to nonmodular networks, especially in high-dimensional tasks.

Our aim is to introduce and advocate non-ΣΣ (non-symmetric) modular operads. While ordinary modular operads were inspired by the structure of the moduli space of stable complex curves, non-ΣΣ modular operads model surfaces with open strings outputs. An immediate application of our theory is a short proof that the mod…

2014-10-13abs ↗pdf ↗

Neural networks learn modular arithmetic but not all, extending known solutions to generalize.

problem Neural networks struggle with modular arithmetic, especially for polynomials.
method Developed analytical solutions for MLP networks to learn modular addition and multiplication, then combined these solutions to generalize on arbitrary modular polynomials.
result Neural networks can learn and generalize solutions to modular polynomials, supporting the hypothesis that some polynomials are learnable.

Fuchsian groups with a modular embedding have the richest arithmetic properties among non-arithmetic Fuchsian groups. But they are very rare, all known examples being related either to triangle groups or to Teichmueller curves. In Part I of this paper we study the arithmetic properties of the modular embedding and deve…

2015-03-19abs ↗pdf ↗

We introduce the notion of the modular class of a Lie algebroid equipped with a Nambu structure. In particular, we recover the modular class of a Nambu-Poisson manifold MM with its Nambu tensor ΛΛ as the modular class of the tangent Lie algebroid TMTM with Nambu structure Λ.Λ. We show that many known properties of th…

2016-09-16abs ↗pdf ↗

Quantum modularity proved for SU(2) TQFT signature on genus 2 surfaces.

problem Proving quantum modularity of SU(2) TQFT signature for genus 2 surfaces.
method Using quantum modularity of generalized Dedekind sums associated with modular forms and trigonometric sum expressions.
result Quantum modularity of SU(2) TQFT signature on genus 2 surfaces proved.

Motivated by a question of Hirzebruch on the possible topological types of cusp cross-sections of Hilbert modular varieties, we give a necessary and sufficient condition for a manifold M to be diffeomorphic to a cusp cross-section of a Hilbert modular variety. Specialized to Hilbert modular surfaces, this proves that e…

2007-06-25abs ↗pdf ↗

Study Alexander polynomials of modular knots, revealing finite and infinite coefficient properties.

problem Investigate Alexander polynomials of modular knots.
method Use Burau representation and geometric SL2(Z)\mathrm{SL}_2(\mathbb{Z})-invariants.
result Alexander polynomials of modular knots have both finite and infinite coefficient properties.

In this paper the exact linear relation between the leading eigenvectors of the modularity matrix and the singular vectors of an uncentered data matrix is developed. Based on this analysis the concept of a modularity component is defined, and its properties are developed. It is shown that modularity component analysis …

2015-10-19abs ↗pdf ↗

Sharp lower bounds for modular invariants and Dehn twist coefficients in genus 2 and 3.

problem Finding sharp lower bounds for modular invariants and Dehn twist coefficients.
method Analyzing the relation between fractional Dehn twists and modular invariants, classifying pseudo-periodic maps, and proving rigidity properties.
result Sharp lower bounds for modular invariants and Dehn twist coefficients in genus 2 and 3.

This paper develops the exact linear relationship between the leading eigenvector of the unnormalized modularity matrix and the eigenvectors of the adjacency matrix. We propose a method for approximating the leading eigenvector of the modularity matrix, and we derive the error of the approximation. There is also a comp…

2015-05-09abs ↗pdf ↗

A modular functor is constructed from non-semisimple 3d TFTs.

problem Constructing modular functors from non-semisimple 3d topological field theories.
method Using a 3d TFT defined in [arXiv:1912.02063], a symmetric monoidal 2-functor is constructed from a 2-category of bordisms to a 2-category of finite linear categories.
result A modular functor is explicitly described as a symmetric monoidal 2-functor.

ETQFTs created from non-semisimple modular categories.

problem Constructing ETQFTs from non-semisimple modular categories.
method Explicitly identify linear categories and functors in the image of ETQFTs constructed from modular categories.
result The circle category of ETQFTs is equivalent to the full subcategory of projective objects of the underlying modular category, which need not be semisimple.

We study the behavior of the modular class of a Lie algebroid under general Lie algebroid morphisms by introducing the relative modular class. We investigate the modular classes of pull-back morphisms and of base-preserving morphisms associated to Lie algebroid extensions. We also define generalized morphisms, includin…

2007-12-18abs ↗pdf ↗