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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.

169,341 papers · 148 categories

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48 results for Invariant Density

New invariant cusp crossing density shows cusp densities of hyperbolic knots and links are dense.

problem Densities of cusp invariants for hyperbolic knots and links.
method Defined cusp crossing density as ratio of cusp volume to crossing number; showed densities are dense.
result Cusp crossing density for links is bounded above by 3.1263... and is dense in [0, 2.120...].

Researchers classify invariant operators on weighted densities.

problem Classifying invariant differential operators on weighted densities.
method Investigated the aff(n1)\mathfrak{aff}(n|1)-module structure and invariant binary differential operators.
result Computed the first aff(n1)\mathfrak{aff}(n|1)-relative differential cohomology.

Study on volume and determinant densities of hyperbolic rational links.

problem Properties and distributions of volume and determinant densities of hyperbolic rational links.
method Construction of sequences of alternating knots and analysis of density distributions.
result Volume and determinant densities of hyperbolic rational links converge to any value in the interval [0,v_{oct}].

Study kernel density estimation for dynamical systems with unique invariant density.

problem Density estimation for dependent observations from dynamical systems.
method Employing C\mathcal{C}-mixing to measure dependence, universal consistency and convergence rates are established.
result Kernel density estimator is universally consistent and achieves convergence rates under L1L_1-norm and LL_\infty-norm.

Let Fλ{\cal F}_λ be the space of tensor densities on Rn{\bf R}^n of degree λλ (or, equivalently, of conformal densities of degree λn-λn) considered as a module over the Lie algebra so(p+1,q+1)so(p+1,q+1). We classify so(p+1,q+1)so(p+1,q+1)-invariant bilinear differential operators from FλFμ{\cal F}_λ\otimes{\cal F}_μ to~Fν{\cal F}_ν. The…

2001-04-25abs ↗pdf ↗

Symmetry of neural network densities can be determined from correlation functions.

problem Determining symmetries of neural network densities without knowing the density itself.
method Symmetry-via-duality approach using invariance properties of correlation functions.
result Symmetries of neural network densities can be determined via dual computations of correlation functions.

Efficiently estimates densities of multidimensional shift-invariant distributions.

problem Density estimation for shift-invariant multidimensional distributions.
method Efficient algorithms for learning any distribution in the class from samples, using total variation distance.
result Shift-invariant distributions can be learned efficiently with a number of samples and time proportional to 1/εd+21/ε^{d+2} and 1/ε2d+21/ε^{2d+2} respectively.

Study shows how near crushing singularities, Kasner-like regions can exist.

problem Understanding spatial volume densities near crushing singularities.
method Relates existence of Kasner-like regions to asymptotics of spatial volume densities under scale-invariant curvature bounds.
result Kasner-like regions can exist near crushing singularities under certain curvature conditions.

The paper defines and studies discrete p-density and compression-radius profiles of lattice knots.

problem Understanding geometric properties of lattice knots.
method Develops a framework for discrete p-density and compression-radius profiles of lattice knots, studying them on length-filtered sets and finite move-graph exploration.
result Density and compression-radius values are not monotone, illustrating distinct optimization problems.

In this work, we study the problem of reconstructing shapes from simple nonasymptotic densities measured only along shape boundaries. The particular density we study is also known as the integral area invariant and corresponds to the area of a disk centered on the boundary that is also inside the shape. It is easy to s…

2013-08-12abs ↗pdf ↗

Over the (1,n)(1,n)-dimensional real superspace, n>1n>1, we classify K(n)\mathcal{K}(n)-invariant binary differential operators acting on the superspaces of weighted densities, where K(n)\mathcal{K}(n) is the Lie superalgebra of contact vector fields. This result allows us to compute the first differential cohomology of %the L…

2009-12-27abs ↗pdf ↗

The study shows how energy density of harmonic maps dominates in nn-Fuchsian fibers, leading to unique minimal surfaces.

problem Understanding energy density and topological invariants in nn-Fuchsian fibers of Higgs bundles.
method Establishing an algebraic inequality generalizing a GIT theorem to prove energy density domination.
result Energy density of harmonic maps dominates in nn-Fuchsian fibers, leading to unique minimal surfaces.

A new Möbius invariant discretization and decomposition of the Möbius energy is proposed.

problem Lack of Möbius invariant discretization and decomposition in existing discrete Möbius energy.
method Proposed a new discretization of Möbius energy that is Möbius invariant and can be decomposed into Möbius invariant components.
result The proposed discretization and decomposition maintain Möbius invariance and converge to the original components in the continuum limit.

We address the following problem: given two smooth densities on a manifold, find an optimal diffeomorphism that transforms one density into the other. Our framework builds on connections between the Fisher-Rao information metric on the space of probability densities and right-invariant metrics on the infinite-dimension…

2015-01-29abs ↗pdf ↗

Hopf's Umlaufsatz relates the total curvature of a closed immersed plane curve to its rotation number. While the curvature of a curve changes under local deformations, its integral over a closed curve is invariant under regular homotopies. A natural question is whether one can find some non-trivial densities on a curve…

2011-08-22abs ↗pdf ↗

The paper proposes a method for interpretable mixture density estimation using a tree structure.

problem Complex probability distributions in machine learning models.
method Interpretable tree structure for mixture density estimation with fast inference.
result The method achieves both high speed and interpretability for mixture density estimation.

Study gauge freedoms in elastic wave equations and Dirichlet-to-Neumann map.

problem Recover stiffness tensor and density from Dirichlet-to-Neumann map.
method Analyze invariance under coordinate transformations and gauge freedoms.
result Present gauge freedoms in the Dirichlet-to-Neumann map for Riemannian elastic wave equation.

A new method detects small holes in noisy data.

problem Detecting small holes in high-density regions from noise.
method Robust Density-Aware Distance (RDAD) filtration, incorporating distance-to-measure concept.
result The RDAD filtration prolongs the persistences of small holes, making them distinguishable from noise.

Efficiently samples and learns densities with symmetries using equivariant methods.

problem Efficiently sampling and learning densities with symmetries.
method Equivariant Stein Variational Gradient Descent (SVGD) and equivariant energy based models.
result Improves and scales up training of energy based models.

Defines a new conformally invariant Yang-Mills type energy for 6-manifolds.

problem No specific problem stated; focuses on defining a new energy.
method Defines a conformally invariant action S on gauge connections on a 6-manifold M, leading to higher-order conformally invariant Yang-Mills equations.
result The Euler-Lagrange equations of S provide a conformally invariant analogue of Yang-Mills equations, with special cases recovering known invariants.

The paper develops GPR models for hyperelastic materials, improving accuracy and rotational invariance.

problem Modeling stress tensors of hyperelastic materials with fewer training examples and higher accuracy.
method Developed three approaches: direct stress tensor modeling, embedding rotational invariance, and recovering strain-energy density.
result Improved GPR models achieve higher accuracy and rotational invariance with fewer training examples.

We study the asymptotic behaviour of the partial density function associated to sections of a positive hermitian line bundle that vanish to a particular order along a fixed divisor YY. Assuming the data in question is invariant under an S1S^1-action (locally around YY) we prove that this density function has a distri…

2013-12-04abs ↗pdf ↗

Density result for arithmetic hyperbolic orbifolds with systole bound.

problem Understanding the density of arithmetic hyperbolic orbifolds with a given systole bound.
method Using bounds for the absolute logarithmic Weil height of algebraic integers and precise estimates for quaternion algebras.
result The set of commensurability classes of arithmetic hyperbolic 2- or 3-orbifolds with fixed invariant trace field and systole bounded below by x0x_0 has density one.