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arXiv research

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.

168,657 papers · 148 categories

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3036059081,210 · Jun 202019922001200920172026
48 results for polar field data

Paper uses polar field data to improve solar flare prediction accuracy.

problem Improving solar flare prediction accuracy using machine learning.
method Incorporates polar field data into machine learning models for solar flare classification.
result Improves solar flare prediction performance by up to 10.1% using a novel probabilistic mixture of experts model.

The study introduces polarization of generalized Nijenhuis torsions and their relevance in operator fields.

problem Characterization of Haantjes C(M)C^{\infty}(M)-modules of operator fields.
method Introducing polarization of generalized Nijenhuis torsions and proving algebraic identities.
result Polarizations of generalized Nijenhuis torsions are relevant in the characterization of Haantjes C(M)C^{\infty}(M)-modules of operator fields.

This paper deals with skew ruled surfaces in the Euclidean space E3\mathbb{E}^{3} which are equipped with polar normalizations, that is, relative normalizations such that the relative normal at each point of the ruled surface lies on the corresponding polar plane. We determine the invariants of a such normalized ruled …

2017-11-29abs ↗pdf ↗

Paper uses ResUNet-CMB to reconstruct cosmic polarization rotation from CMB data.

problem Reconstructing anisotropic cosmic polarization rotation from CMB data.
method Extended ResUNet-CMB to handle gravitational lensing and patchy reionization.
result ResUNet-CMB outperforms standard quadratic estimator in reconstructing all three effects.

Neural network implementation of Brenier's polar factorization for vector fields.

problem Implementing Brenier's polar factorization theorem for vector fields using neural networks.
method Parameterizing the convex function uu as an input convex neural network and estimating the measure-preserving map MM.
result Practical neural implementation of Brenier's polar factorization theorem.

Let MM be a closed manifold of Sasaki type. A polarization of MM is defined by a Reeb vector field, and for one such, we consider the set of all Sasakian metrics compatible with it. On this space, we study the functional given by the squared L2L^2-norm of the scalar curvature. We prove that its critical points, or ca…

2006-04-13abs ↗pdf ↗

Given a polarized complex manifold, projection of a torus-equivariant test configuration to holomorphic vector fields was introduced by G. Székelyhidi, as the limit of the associated C\mathbb{C}^*-actions. We show that there actually holds the moment convergence of the weight distributions. Our analytic approach at th…

2016-10-23abs ↗pdf ↗

Study of cosmic microwave background polarization using spin random fields.

problem Detecting deviations from Gaussianity and anisotropies in cosmic fields.
method Explicit formula for Lipschitz-Killing curvatures of spin spherical random fields.
result Coherent with asymptotic results, providing new metric expressions.

Let (X,L) be a polarized Kähler manifold that admits an extremal Kähler metric in c1(L). We show that on a nearby polarized deformation that preserves the symmetry induced by the extremal vector field of (X,L), the modified K-energy is bounded from below. This generalizes a result of Chen, Székelyhidi and Tosatti to ex…

2013-02-04abs ↗pdf ↗

Novel fusion network combines polarization and radiomics features for liver cancer classification.

problem Challenges in histopathological diagnosis of HCC and ICC.
method Two-tier fusion approach: feature-level and classification-level.
result Significantly enhances classification accuracy, even at reduced resolutions.

PolarBM models complex-valued audio signals in polar coordinates, improving over conventional methods.

problem Discarding structural information in complex-valued problems simplifies models but loses important amplitude-phase relationships.
method Proposes PolarBM, a novel Boltzmann machine for complex-valued variables in polar coordinates, and LogPolarBM for logarithmic amplitude.
result PolarBM and LogPolarBM achieve superior modeling accuracy compared to conventional models, including deep neural networks.

The vulnerability of deep neural networks to small, adversarially designed perturbations can be attributed to their "excessive linearity." In this paper, we propose a bottom-up strategy for attenuating adversarial perturbations using a nonlinear front end which polarizes and quantizes the data. We observe that ideal po…

2020-02-22abs ↗pdf ↗

We show that using the family of adapted Kähler polarizations of the phase space of a compact, simply connected, Riemannian symmetric space of rank-1, the obtained field HcorrH^{corr} of quantum Hilbert spaces produced by geometric quantization including the half-form correction is flat if MM is the 3-dimensional sphere …

2012-04-04abs ↗pdf ↗

We show that the Einstein-Hilbert functional, as a functional on the space of Reeb vector fields, detects the vanishing Sasaki-Futaki invariant. In particular, this provides an obstruction to the existence of a constant scalar curvature Sasakian metric. As an application we prove that K-semistable polarized Sasaki mani…

2015-06-19abs ↗pdf ↗

Introduces Polar Depth for analyzing multivariate heavy-tailed data extremes.

problem Analyzing the behavior of extremes from multivariate heavy-tailed distributions.
method Introduces Polar Depth, a novel statistical depth function expressed in polar coordinates.
result The polar depth of the largest observations converges to the polar depth of the limiting distribution as the threshold increases.

The paper describes a fine representation of the Ricci tensor and Hessian on RCD spaces.

problem Understanding the structure of the Ricci tensor and Hessians on RCD spaces.
method Polar decomposition of the Ricci tensor and Hessians, providing regularity results.
result The Ricci tensor and Hessians on RCD spaces can be represented by a polar decomposition, revealing their regularity.

The imbalance of buying and selling functions profoundly in the formation of market trends, however, a fine-granularity investigation of the imbalance is still missing. This paper investigates a unique transaction dataset that enables us to inspect the imbalance of buying and selling on the man-times level at high freq…

2018-02-04abs ↗pdf ↗

Defines volume and Monge-Ampère energy on polarized affine varieties.

problem Volume and Monge-Ampère energy on polarized affine varieties.
method Definition of volume using asymptotics of jumping numbers, Monge-Ampère energy using forms and currents on Berkovich spaces.
result Monge-Ampère energy agrees with volume of filtrations and recovers known functionals.

We survey physical models which capture the main concepts of double field theory on para-Hermitian manifolds. We show that the geometric theory of Lagrangian and Hamiltonian dynamical systems is an instance of para-Kahler geometry which extends to a natural example of a Born geometry. The corresponding phase space geom…

2018-10-09abs ↗pdf ↗

We show how a polar representation of a compact connected Lie group can be linearly determined from its dimension and isotropy subgroup data in the general reducible case.

2017-04-11abs ↗pdf ↗

Second paper in series solves Einstein vacuum equations for three impulsive waves.

problem Solving local Cauchy problem for impulsive gravitational waves.
method Geometric commutators for energy estimates, fractional-derivative regularity, anisotropic Sobolev embedding.
result Scalar field becomes everywhere Lipschitz and C1,θC^{1,θ} away from singular region.

POLAR optimizes treatment strategies in dynamic settings with statistical guarantees.

problem Optimizing sequential decisions in dynamic treatment regimes with robustness and statistical guarantees.
method Pessimistic model-based approach estimating transition dynamics and incorporating uncertainty penalties.
result Offers statistical and computational guarantees, including finite-sample bounds on policy suboptimality.

We classify the polar actions on the complex hyperbolic plane up to orbit equivalence. Apart from the trivial and transitive polar actions, there are five polar actions of cohomogeneity one and four polar actions of cohomogeneity two.

2011-08-02abs ↗pdf ↗

In the previous article (\cite{S}), we proved that slope stability of a holomorphic vector bundle EE over a polarized manifold (X,L)(X,L) implies Chow stability of (PE,OPE(1)πLk)(\mathbb{P}E^*,\mathcal{O}_{\mathbb{P}E^*}(1)\otimes π^* L^k) for k0k \gg 0 if the base manifold has no nontrivial holomorphic vector field and admits a con…

2011-10-25abs ↗pdf ↗

The paper studies how Kähler polarizations degenerate to mixed polarizations on toric varieties.

problem Degeneration of Kähler polarizations to mixed polarizations on toric varieties.
method Constructing polarizations by Hamiltonian actions, finding one-parameter families of Kähler polarizations, and analyzing convergence of spaces of holomorphic sections.
result Kähler polarizations degenerate to mixed polarizations as kk increases, with specific convergence results for one-parameter families.

In this paper, we give a new construction of the adapted complex structure on a neighborhood of the zero section in the tangent bundle of a compact, real-analytic Riemannian manifold. Motivated by the "complexifier" approach of T. Thiemann as well as certain formulas of V. Guillemin and M. Stenzel, we obtain the polari…

2008-11-19abs ↗pdf ↗

Polarized and GG-polarized CR manifolds are smooth manifolds endowed with a double structure: a real foliation $\Cal F$ (given by the action of a Lie group GG in the GG-polarized case) and a transverse CR distribution (E,J)(E,J). Polarized means that (E,J)(E,J) is roughly speaking invariant by $\Cal F$. Both structures ar…

2012-12-03abs ↗pdf ↗

Method estimates treatment effect bounds in sample selection models.

problem Estimating heterogeneous treatment effects in presence of sample selection.
method Debiased/double machine learning approach for non-linear and high-dimensional confounders.
result Substantially tighter effect bounds for younger users.

A polarity of a projective plane is a map, often assumed to be involutive, mapping a generic point to a generic line and reciprocally. The most classical polarity is the polarity with respect to a conic, but other exist: the harmonic polarity with respect to a triangle, the polarities with respect to high-degree algebr…

2013-02-07abs ↗pdf ↗

The generic fiber of a Lagrangian fibration on an irreducible holomorphic symplectic manifold is an abelian variety. Associate a polarization type to such Lagrangian fibrations coming from polarizations on a generic fiber. We prove that this polarization type is constant in families of Lagrangian fibrations. Further, w…

2015-01-19abs ↗pdf ↗

This paper introduces an acceleration structure for hyperbolic embeddings.

problem Efficiently embedding and visualizing high-dimensional data in hyperbolic spaces.
method Building upon a polar quadtree, the paper introduces a new acceleration structure for hyperbolic embeddings.
result The new method computes embeddings in significantly less time compared to existing methods.

We establish an equivalence between conformally Einstein--Maxwell Kahler 4-manifolds (recently studied in many works) and extremal Kahler 4-manifolds (in the sense of Calabi) with nowhere vanishing scalar curvature. The corresponding pairs of Kahler metrics arise as transversal Kahler structures of Sasaki metrics compa…

2018-10-24abs ↗pdf ↗

Study on spin random fields using chaos decomposition for cosmic microwave background modeling.

problem Modeling polarization of Cosmic Microwave Background using spin random fields.
method Explicit Wiener-Itô chaos decomposition of area measures of level sets.
result Reveals a clear difference between high frequency regime and zero spin case.

POLAR learns efficient data acquisition policies using pretrained belief representations.

problem Challenges in learning effective policies for adaptive data acquisition.
method POLAR decouples representation learning from policy learning by leveraging pretrained predictive foundation models as belief-state encoders.
result POLAR outperforms state-of-the-art methods across diverse tasks while requiring fewer training samples.

The paper analyzes how multiple classifiers' disagreement and polarization affect overall accuracy.

problem Improving accuracy through ensembling multiple classifiers.
method The paper derives an upper bound for polarization, proposes a neural polarization law, and presents a tight upper bound for the error of majority vote classifiers.
result Disagreement and polarization among classifiers are linearly correlated with the target, and polarization is nearly constant for a dataset.

Assume that a projective variety together with a polarization is uniformly K-stable. If the polarization is canonical or anti-canonical, then the projective variety is uniformly K-stable with respects to any polarization sufficiently close to the original polarization.

2017-09-24abs ↗pdf ↗

Uniqueness proven for a specific type of complex manifold's solitons.

problem Proving uniqueness of asymptotically conical shrinking gradient Kähler-Ricci solitons.
method Using a method to show uniqueness of the soliton vector field, which can be applied more widely.
result A noncompact complex manifold admits only one such soliton.

Classifies totally geodesic submanifolds and polar actions on Stiefel manifolds.

problem Classifying totally geodesic submanifolds and polar actions on Stiefel manifolds.
method Classification through polar actions and cohomogeneity-one actions.
result Classification of orbits of polar actions on Stiefel manifolds.

Synthetic approach to pluripotential theory measures finite energy.

problem Global pluripotential theory on compact Kähler manifolds and projective Berkovich spaces.
method Definition and study of measures of finite energy, introduction of twisted and free energy functionals.
result Coercivity of energy functionals is an open condition with respect to polarization.