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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.

169,341 papers · 148 categories

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4386129172 · May 202619922001200920182026
48 results for uniform conformal distortions

Develops a method for mapping 3D point clouds with uniform conformal distortions.

problem Challenges in mapping 3D point clouds, especially feature-endowed ones.
method Proposes TEMPO, a novel method based on discrete Teichmüller extremal mappings.
result Introduces TEMPO for accurate recognition and classification of point clouds.

Uniform distance distortion estimate for Ricci flows with bounded scalar curvature.

problem Analyzing Ricci flows with collapsing initial data.
method Uniform distance distortion estimate through renormalized metric-measure quantities.
result Uniform lower bounds of the renormalized heat kernel match with the lower bound of the renormalized volume ratio, proving distance distortion estimate.

Establishes a link between risk measures and uniform integrability in finance.

problem Understanding uniform integrability in the context of financial risk measures.
method Introduces the folding score of distortion risk measures to study uniform integrability directly with gains and losses.
result Obtains three sets of equivalent conditions for uniform integrability involving coherent risk measures.

Study shows pooling scores for conformal prediction distorts group coverage.

problem Pooling scores for conformal prediction distorts group coverage.
method Derived conservation law and lower bound, demonstrated tension between fairness definitions, quantified trade-off between policies.
result Pooling scores for conformal prediction distorts group coverage.

A natural generalization of interval exchange maps are linear involutions, first introduced by Danthony and Nogueira. Recurrent train tracks with a single switch provide a subclass of linear involutions. We call such linear involutions non-classical interval exchanges. They are related to measured foliations on orienta…

2009-06-14abs ↗pdf ↗

Develops a unified framework for computing n-dimensional quasi-conformal mappings.

problem Effective mapping methods for higher-dimensional objects with geometric constraints.
method Variational model integrating quasi-conformal distortion, volumetric distortion, and other factors.
result Existence and efficient numerical methods for solving the optimization problem.

Study on homeomorphism groups of telescoping 2-manifolds showing strong distortion.

problem Characterizing the homeomorphism group of telescoping 2-manifolds.
method Introduced telescoping 2-manifolds, studied homeomorphism groups, and used commutator subgroup properties.
result Homeomorphism group of telescoping 2-manifolds is strongly distorted.

Efficiently samples conformal boundaries in high dimensions using flows.

problem Difficulty in interpreting and using prediction sets in high-dimensional or structured output spaces.
method Flow-based approach using differentiable nonconformity scores to induce deterministic flows on the output space.
result Sampling conformal boundaries in arbitrary dimensions becomes computationally efficient and training-free.

Flow taxes and stock taxes preserve portfolio neutrality under specific conditions.

problem Analyzing the impact of different types of taxes on portfolio choice.
method Extending the neutrality result to a full system of ownership taxes, showing how each tax modifies the drift of the wealth process.
result The combined system of taxes preserves portfolio neutrality under three conditions, and the drift-shift symmetry generalizes to a drift-shift-and-rescale symmetry.

A neural network method tackles high-dimensional diffeomorphic mapping problems.

problem High-dimensional diffeomorphic mapping struggles with the curse of dimensionality.
method Combines variational principles with quasi-conformal theory for accurate, bijective mappings.
result Validated accuracy, robustness, and effectiveness in complex registration scenarios.

We study surfaces with decorations and prove uniformization in non-Euclidean geometries.

problem Discrete conformal equivalence in non-Euclidean geometries.
method Variational principle and continuous deformation.
result One master theory of discrete conformal equivalence across different geometries.

We study mappings on sub-Riemannian manifolds which are quasi-regular with respect to the Carnot-Caratheodory distances and discuss several related notions. On H-type Carnot groups, quasiregular mappings have been introduced earlier using an analytic definition, but so far, a good working definition in the same spirit …

2013-12-01abs ↗pdf ↗

The paper proves uniformization for specific curvature types on manifolds.

problem Uniformizing fourth order conformal curvature on Riemannian manifolds.
method Proving existence of conformal deformations for specific curvature conditions.
result Existence of conformal deformations for positive Yamabe invariant and total Q-curvature.

Uniform K-stability ensures existence of special metrics on toric manifolds.

problem Existence of conformally Kähler, Einstein-Maxwell metrics on toric manifolds.
method Introducing uniform K-stability and showing its equivalence to properness of relative K-energy.
result Uniform K-stability is necessary and sufficient for the existence of ff-extremal metrics on toric manifolds.

Develops a method for conformal parameterization of point clouds without fixed boundaries.

problem Desirable distortion in fixed-boundary parameterizations of point clouds.
method Free-boundary conformal parameterization method involving approximation of point cloud Laplacian and boundary treatment.
result High-quality point cloud meshing achieved through the proposed method.

Conformal Test Martingales can be 'blind' to significant changes in data distribution.

problem The converse of exchangeability does not hold, leading to potential blindness of CTMs.
method Explicit construction of AA-cryptic change-point using bivariate Gaussian distributions.
result CTMs can be perfectly cryptic to a significant change in marginal means.

In this paper a new connection between the discrete conformal geometry problem of disk pattern construction and the continuous conformal geometry problem of metric uniformization is presented. In a nutshell, we discuss how to construct disk patterns by optimizing an objective function, which turns out to be intimately …

2000-10-31abs ↗pdf ↗

The paper derives uniform stability-based coverage bounds for conformal prediction methods.

problem Establishing theoretical guarantees for conformal prediction methods.
method Uniform stability perspective applied to full-conformal, jackknife+, and CV+ prediction regions.
result Coverage bounds for finite-dimensional models derived using a concentration argument.

Humans outperform DNNs on image degradations, especially when signals weaken.

problem Comparing human and DNN robustness in object recognition under various image manipulations.
method Comparison of robustness between humans and DNNs (ResNet-152, VGG-19, GoogLeNet) on object recognition under 12 types of image degradations.
result Humans consistently outperform DNNs on object recognition, especially under weaker signals.

Solves modified Schouten tensor problems in conformal metric classes.

problem Prescribed problems for modified Schouten tensors in conformal classes of metrics.
method Uniform ellipticity confirmation under topological and functional constraints.
result Extends results from previous work on smooth complete metrics.

Surface parameterizations have been widely used in computer graphics and geometry processing. In particular, as simply-connected open surfaces are conformally equivalent to the unit disk, it is desirable to compute the disk conformal parameterizations of the surfaces. In this paper, we propose a novel algorithm for the…

2014-08-29abs ↗pdf ↗

Length metrics can be closely approximated by conformally flat metrics.

problem Approximating length metrics with conformally flat metrics.
method Uniform approximation of length metrics by conformally flat Riemannian metrics.
result Any length metric on \(\mathbb{R}^d\) can be uniformly approximated by conformally flat Riemannian metrics.

Validates conformal prediction for network data under non-uniform sampling.

problem Validity of conformal prediction for network data under non-representative sampling.
method Interprets sampling mechanisms as selection rules, studies validity conditional on selection events, uses permutation invariance and joint exchangeability.
result Finite-sample validity of conformal prediction for certain selection events and asymptotic validity for random walk sampling.

Modified BA algorithm computes RD and DR functions efficiently.

problem Computing rate-distortion and distortion-rate functions.
method A novel modification of the BA algorithm using Newton's method for root-finding.
result The modified algorithm converges to RD and DR function solutions with rate O(1/n)O(1/n) and provides ε\varepsilon-approximations.

Uniform estimates for elliptic problems near polygonal domains.

problem Proving uniform solvability estimates for elliptic problems near polygonal domains.
method Suitable conformal modification of the metric to make the union of domains a manifold with boundary and relative bounded geometry.
result Rounding off the corners of the limit polygonal domain.

Researchers found 5 local fields to uniquely describe 3D director fields, related through 6 differential relations.

problem Understanding the compatibility conditions for 3D director fields.
method Employed the method of moving frames.
result A director field is fully determined by five local fields related through six differential relations.

QC-SPHARM detects Alzheimer's Disease early using hippocampal surface geometry.

problem Early detection of Alzheimer's Disease (AD) using hippocampal surface geometry.
method Spherical harmonics registration, conformality and curvature distortions quantification, t-test feature selection, SVM classification.
result 85.2% testing accuracy on ADNI data, 81.2% on aMCI progression data.

The paper proves uniform approximation for minimal surfaces with applications to a Mittag-Leffler theorem.

problem Approximating complete conformal minimal surfaces with finite curvature.
method Uniform approximation theorem with interpolation for minimal surfaces.
result Obtained a Mittag-Leffler type theorem for minimal immersions.

We prove effective uniformization for nearly round 2-spheres and investigate their stability.

problem Proving effective uniformization for nearly round 2-spheres and their stability.
method Utilizing an identity related to the third-order differential of the conformal factor, and an isometric embedding of a round sphere into Euclidean space using an orthogonal basis of the first eigenspace of the Laplacian operator.
result We provide a simplified proof of effective uniformization and its stability.

The paper explores uniform perfectness and centers in Morse boundaries.

problem Detecting κκ-center exhaustivity in uniformly perfect Morse boundaries.
method Analyzes CAT(0) and geodesic spaces, using visual boundary data and metric transforms.
result Fixed-basepoint uniform perfectness is insufficient for κκ-center exhaustivity.

Uniformizes surfaces with boundaries, focusing on triple junctions.

problem Uniformization of surfaces with boundaries, especially triple junctions.
method Extends conformal structure results to triple junction surfaces.
result Weak uniformization results for triple junction surfaces.

Discrete conformal maps on surfaces with vertex decorations are studied.

problem Discrete conformal equivalence for decorated piecewise Euclidean surfaces.
method Intimate relationship between decorated PE-surfaces, canonical tessellations of hyperbolic surfaces, and convex hyperbolic polyhedra; concave variational principle.
result Proof of discrete uniformization theorem for decorated PE-surfaces.

New framework for better mapping of surfaces onto ellipsoids.

problem Mapping genus-0 closed surfaces onto spheres results in large distortion.
method Combining conformal and quasi-conformal mappings onto ellipsoids.
result Achieved a variety of ellipsoidal parameterizations with bijectivity.

Develops uniform convergence guarantees for a broad class of risk functionals in supervised learning.

problem Bounding generalization gaps for various risk functionals beyond the expectation.
method Establishes uniform convergence for Hölder risk functionals, providing guarantees for empirical risk minimization.
result First uniform convergence results for estimating the CDF of loss distributions, applicable to various risk functionals.

RLCP improves localized conformal prediction for covariate-specific miscalibration.

problem Localized conformal prediction struggles with covariate-specific miscalibration.
method Randomly localized conformal prediction (RLCP) calibrates near the test point while preserving marginal coverage.
result We provide finite-sample guarantees for RLCP, controlling conditional validity and oracle efficiency.

Compact locally conformal Kähler manifolds with constant Chern holomorphic sectional curvature are necessarily Kähler.

problem Chern version of the constant holomorphic sectional curvature conjecture for compact locally conformal Kähler manifolds
method Prove the conjecture using curvature identities and properties of Kähler metrics
result Compact locally conformal Kähler manifolds with constant Chern holomorphic sectional curvature are necessarily Kähler

The paper introduces a new discretization of Gaussian curvature on surfaces.

problem Discretizing Gaussian curvature on surfaces with conic singularities.
method Discrete conformal theory and variational principles with constraints.
result Established a discrete uniformization theorem for surfaces with non-positive Euler number.

Uniform convergence of metrics on surfaces with bounded curvature measures proved.

problem Proving uniform convergence of metrics on Alexandrov surfaces with bounded integral curvature.
method Weak convergence of measures and analytic approximation of metrics.
result Uniform convergence of metrics on Alexandrov surfaces proved.