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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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54108161215 · Jun 202019922001200920182026
48 results for tuning curve centers

Develops an analytical method for filtering point process observations.

problem Intractability of dynamic state estimation based on point process observations.
method Bayesian approximation to optimal filtering, introducing distributional assumptions.
result Analytic framework provides insights into optimal encoding strategies.

In this study, we investigate the locus of the centers of the Meusnier spheres. Just as focal curve is the locus of the centers of the osculating spheres, we investigate the geometrical interpretation on the locus of the centers of the Meusnier spheres. We proved that if the curve is a principal line, the locus of the …

2013-07-16abs ↗pdf ↗

Study centro-affine invariants on ellipses using canonical Lorentz metric.

problem Understanding centro-affine invariants on ellipses.
method Using the canonical Lorentz structure on the space of ellipses centered at zero.
result Described centro-affine invariants in terms of the canonical Lorentz structure.

We show that the center of the Goldman algebra associated to a closed oriented hyperbolic surface is trivial. For a hyperbolic surface of finite type with nonempty boundary, the center consists of closed curves which are homotopic to boundary components or punctures.

2014-12-07abs ↗pdf ↗

We show that some of centeral fibers of degenerations of hyperelliptic curves are realized as those trigonal curves. In particular, any hyperelliptic curve can be the central fiber of a degeneration of trigonal curves.

2007-10-05abs ↗pdf ↗

Archimedes determined the center of gravity of a parabolic section as follows. For a parabolic section between a parabola and any chord ABAB on the parabola, let us denote by PP the point on the parabola where the tangent is parallel to ABAB and by VV the point where the line through PP parallel to the axis of the p…

2015-02-01abs ↗pdf ↗

Confidence bands for tuning curves improve hyperparameter comparison in NLP.

problem Ambiguity in comparing hyperparameter tuning methods.
method Constructs exact, simultaneous, and distribution-free confidence bands for tuning curves.
result Confidence bands provide a robust basis for comparing methods rigorously.

In this paper we study properties of the area evolute (AE) and the center symmetry set (CSS) of a convex planar curve γγ. The main tool is to define a Minkowski plane where γγ becomes a constant width curve. In this Minkowski plane, the CSS is the evolute of γγ and the AE is an involute of the CSS. We prove that the…

2013-01-27abs ↗pdf ↗

Paper centers Koebe polyhedra using Möbius transformations.

problem Centering Koebe polyhedra under Möbius transformations.
method Investigation of topological properties of integral curves in hyperbolic space.
result Most centers of Koebe polyhedra cannot be obtained as the center of a suitable measure defined on the sphere.

New method ranks multivariate distributions in SMOOP using q-dominance.

problem Lack of reliable methods to rank multivariate distributions in SMOOP.
method Introduces center-outward q-dominance and develops empirical test procedures.
result Proves q-dominance implies FSD and establishes a sample size threshold.

Refined estimates for surfaces in curved spaces based on Willmore functional.

problem Estimating the position of surfaces in curved spaces accurately.
method Critical points of the Willmore functional, constrained area, refined geometric center of mass.
result Improved position estimates related to ambient scalar curvature.

The paper studies a flow of spacelike curves in a Lorentz-Minkowski plane, showing convergence to a constant function.

problem Evolution of spacelike graphic curves in Lorentz-Minkowski plane.
method Anisotropic inverse mean curvature flow with vanishing Neumann boundary condition.
result The evolving curves converge to a constant function as time tends to infinity.

Effective methods compute equivariant harmonic maps from surfaces to nonpositively curved spaces.

problem Computing equivariant harmonic maps from surfaces to nonpositively curved spaces.
method Discretization of the theory, strong convexity of energy functional, convergence of discrete heat flow, center of mass methods.
result Explicit convergence rate and numerical computation with Harmony software.

Improved neural population modeling using shared features and ensemble detection.

problem Missing shared coding properties in neural latent variable models.
method Feature sharing across tuning curves and soft clustering of neurons.
result More interpretable and better-performing neural population models.

We consider two types of pp-centro affine flows on smooth, centrally symmetric, closed convex planar curves, pp-contracting, respectively, pp-expanding. Here pp is an arbitrary real number greater than 1. We show that, under any pp-contracting flow, the evolving curves shrink to a point in finite time and the only…

2012-05-29abs ↗pdf ↗

Time dilation 11v2\frac{1}{\sqrt{1-v^2}} and relative velocity vv are observationally indistinguishable in the special theory of relativity, a duality that carries over into the general theory under Fermi coordinates along a curve (in coordinate-independent language, in the tangent Minkowski space along the curve). For …

2005-12-05abs ↗pdf ↗

Study of evolutes of polygons and curves in higher dimensions.

problem Understanding evolutes of spatial polygons and curves in higher dimensions.
method Analyzing iterations of evolute transformations and studying properties of evolutes for polygons and curves.
result Eigenvalues of the second evolute map have double multiplicity, and evolutes of certain curves are homothetic to the curves themselves.

Develops a method to approximate surfaces with intrinsically flat ribbons for topological inspection.

problem Approximating surfaces with flat ribbons for topological analysis.
method Rolling-based approach using Cartan ribbons and geodesic curvature alignment.
result Closed approximating ribbons contribute zero to total curvature, simplifying topological inspection.

Study characterizes involutes and evolutes of curves in n-dimensional space.

problem Characterizing involutes and evolutes of curves in n-dimensional Euclidean space.
method Analyzes orthogonal trajectories and osculating hyperspheres to define involutes and evolutes.
result Characterizes involute curves of order k and evolute curves in n-dimensional Euclidean space.

Spheres in curve graphs are connected, proving Gromov boundary linearity.

problem Understanding connectivity in curve graphs and their boundaries.
method Defining spheres and analyzing their connectivity for different complexities.
result Spheres in high complexity curve graphs are always connected, with weaker results for low complexity.

In this paper, we deals with isoperimetric-type inequalities for closed convex curves in the Euclidean plane R^2. We derive a family of parametric inequalities involving the following geometric functionals associated to a given convex curve with a simple Fourier series proof: length, area of the region included by the …

2011-02-28abs ↗pdf ↗

Deep learning identifies unique walking patterns from pressure data.

problem Tackling the challenge of accurately identifying individuals based on their walking style.
method Used deep learning, specifically convolutional neural networks (CNNs), to analyze the center-of-pressure trajectory of 36 adults walking on a treadmill.
result CNNs achieved 99.9% accuracy in classifying 2,250 segments and 100% accuracy in fine-tuning a subset of 4,500 segments, suggesting unique pressure patterns for each person.

The paper studies the center of the Goldman Lie algebra and its properties.

problem Identifying the center of the Goldman Lie algebra and its properties.
method Analyzing the Goldman Lie algebra as a Z_2-graded Lie algebra and using properties of the even part.
result The center of the even part of the Goldman Lie algebra is generated by specific classes of loops.

HAMLET optimizes algorithm selection for machine learning tasks.

problem Limited time budgets and computational resources make traditional bandit approaches ineffective for automated algorithm selection.
method HAMLET incorporates learning curve extrapolation and time-awareness to select machine learning algorithms.
result HAMLET variants outperform other bandit-based strategies in experiments with recorded hyperparameter tuning traces.

LoRA-Curve connects independent LoRA optima through continuous low-loss valleys, improving Bayesian model averaging.

problem Challenges in estimating epistemic uncertainty in LoRA-based Bayesian inference.
method Introduces LoRA-Curve, a segmented Bézier curve parameterization in the LoRA space, with free and anchored configurations.
result Empirically shows that connecting independent LoRA optima through continuous low-loss valleys improves mutual information of the predictive distribution.

Paper analyzes CKRR for large data, showing risks converge to deterministic values.

problem Analyzing risks of kernel ridge regression with large data.
method Large dimensional analysis using centered kernels and random matrix theory.
result Empirical and prediction risks converge to deterministic values under specific conditions.

The paper studies canal hypersurfaces in Lorentz-Minkowski 4-space.

problem Characterizing canal hypersurfaces formed by pseudo null, partially null, and null curves.
method Obtained parametric expressions and geometric invariants of canal hypersurfaces.
result Characterizations of tubular hypersurfaces in E14E^4_1.

Optimizes variational autoencoder for detecting missing data in Mars rover transmissions.

problem Detecting missing data in Mars rover transmissions to prevent volume loss and corruption.
method Applies derivative-free optimization to tune variational autoencoder.
result Improves variational autoencoder's ability to detect missing data, aiding GDSA team.

There are exactly two different types of bi-dimensional improper affine spheres: the non-convex ones can be modeled by the center-chord transform of a pair of planar curves while the convex ones can be modeled by a holomorphic map. In this paper, we show that both constructions can be generalized to arbitrary even dime…

2012-12-19abs ↗pdf ↗