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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.

168,694 papers · 148 categories

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9172634 · Jun 202019922001200920172026
48 results for light

Using open source data, we observe the fascinating dynamics of nighttime light. Following a global economic regime shift, the planetary center of light can be seen moving eastwards at a pace of about 60 km per year. Introducing spatial light Gini coefficients, we find a universal pattern of human settlements across dif…

2013-03-12abs ↗pdf ↗

Study subjective perception of low light restored images and develop an unsupervised QA model.

problem Lack of subjective QA for low light restored images and challenges in collecting human opinion scores.
method Create a dataset, conduct subjective QA study, develop self-supervised contrastive learning technique to extract features.
result Unsupervised NR QA model achieves state-of-the-art performance for low light restored images.

Solves surface problem in 3D light cone.

problem Björling problem for zero mean curvature surfaces in the three-dimensional light cone.
method Solves the Björling problem for zero mean curvature surfaces in the three-dimensional light cone.
result Constructs and classifies all rotational zero mean curvature surfaces.

Paper extends previous result on hypersurfaces with degenerate light-like points.

problem Characterizing hypersurfaces with degenerate light-like points in Lorentzian manifolds.
method Analyzes C3C^3-differentiable hypersurfaces, extending previous C4C^4-differentiability result.
result Same conclusion holds for C3C^3-differentiable hypersurfaces as for C4C^4-differentiable ones.

The natural topological, differentiable and geometrical structures on the space of light rays of a given spacetime are discussed. The relation between the causality properties of the original spacetime and the natural structures on the space of light rays are stressed. Finally, a symplectic geometrical approach to the …

2015-10-28abs ↗pdf ↗

Consider a constant mean curvature immersion F:U(Rn)MF:U(\subset \boldsymbol{R}^n)\to M into an arbitrary Lorentzian (n+1)(n+1)-manifold MM. A point oUo\in U is called a light-like point if the first fundamental form ds2ds^2 of FF degenerates at oo. We denote by BFB_F the determinant function of the symmetric matrix associate…

2018-06-24abs ↗pdf ↗

In this paper, we are concerned with light-like extremal surfaces in curved spacetimes. It is interesting to find that under a diffeomorphic transformation of variables, the light-like extremal surfaces can be described by a system of nonlinear geodesic equations. Particularly, we investigate the light-like extremal su…

2013-05-04abs ↗pdf ↗

Transformer model removes noise from light curves efficiently.

problem Challenges in processing astrophysical light curves due to noise.
method Denoising Time Series Transformer (DTST) model trained with masked objective.
result DTST model excels at removing noise and outliers in time series datasets.

Predict missing and future data points in light curves using scalable Gaussian Processes.

problem Gappy time-series data from commercial cameras confound light curve prediction.
method MuyGPs, a scalable framework for hyperparameter estimation of Gaussian Processes using nearest neighbors sparsification and local cross-validation.
result MuyGPs enable accurate prediction of missing and future data points in light curves.

Accelerates pulsar light curve inference with learned representations and optimization.

problem Computational expense of Markov chain Monte Carlo methods for posterior inference.
method Combining U-Net latent representations with local simulator-guided optimization.
result 120x reduction in inference time (24 hours to 12 minutes) with accuracy preserved.

We introduce large scale analogues of topological monotone and light maps, which we call coarsely monotone and coarsely light maps respectively. We show that these two classes of maps constitute a factorization system on the coarse category. We also show how coarsely monotone maps arise from a reflection in a similar w…

2016-07-08abs ↗pdf ↗

On a time-oriented Lorentzian manifold (M,g)(M,g) with non-empty boundary satisfying a convexity assumption, we show that the topological, differentiable, and conformal structure of suitable subsets SMS\subset M of sources is uniquely determined by measurements of the intersection of future light cones from points in SS

2017-05-03abs ↗pdf ↗

We study the weighted light ray transform LL of integrating functions on a Lorentzian manifold over lightlike geodesics. We analyze LL as a Fourier Integral Operator and show that if there are no conjugate points, one can recover the spacelike singularities of a function ff from its the weighted light ray transform …

2019-07-04abs ↗pdf ↗

Given a Lorentzian manifold, the light ray transform of a function is its integrals along null geodesics. This paper is concerned with the injectivity of the light ray transform on functions and tensors, up to the natural gauge for the problem. First, we study the injectivity of the light ray transform of a scalar func…

2019-11-12abs ↗pdf ↗

It is well-known that a torsion-free linear connection on a light-like manifold (M,g)(M,g) compatible with the degenerate metric gg exists if and only if Rad(TM)Rad(TM) is a Killing distribution. In case of existence, there is an infinitude of connections with none distinguished. We propose a method to single out connections …

2007-01-31abs ↗pdf ↗

New inequality shows all special submanifolds in light cone are totally umbilical spheres.

problem Characterizing submanifolds with parallel mean curvature in Lorentz-Minkowski spacetime.
method Established an integral inequality and used it to derive a rigidity result.
result All compact submanifolds with parallel mean curvature in light cone are totally umbilical spheres.

The paper classifies submanifolds in a specific Lorentz-Minkowski space.

problem Characterizing submanifolds in a Lorentz-Minkowski space.
method Constructing a global frame field and analyzing extrinsic invariants.
result Local classification theorems for specific submanifold classes.

The paper studies volumes of conformally flat manifolds in light-cone geometry.

problem Volume maximization of conformally flat manifolds in light-cone geometry.
method Computes variational formulas for the volume of hypersurfaces in light-cone.
result Hypersurfaces of conformally flat manifolds maximize volume in certain null hypersurfaces.

Study classifies translating solitons in Minkowski 3-space, revealing singularities.

problem Classifying translating solitons in Minkowski 3-space.
method Introduced the concept of translating solitons on a light-like direction, classified them into graphical and invariant families.
result All time-like examples are incomplete and some have singularities.

Curvature flow and inverse curvature flow solutions on 2D light cone identified.

problem Identifying self-similar solutions to curvature flow and inverse curvature flow on 2D light cone.
method Proved correspondence between CF and ICF solutions, analyzed ellipses and hyperboles, and characterized self-similar solutions.
result Ellipses and hyperboles are the only curves evolving under homotheties on the 2D light cone.

Adds a precortical module to CNNs for improved robustness to light variations.

problem Robustness of CNNs to global light intensity and contrast variations.
method Developed a mathematical model of the mammalian visual pathway, inspired by CNNs, and added a preliminary convolutional module.
result Significantly more robust CNNs achieved with added module on MNIST, FashionMNIST, and SVHN databases.

The study proves that certain constant mean curvature surfaces in a specific cone are either spheres or horospheres.

problem Characterizing constant mean curvature surfaces in a three-dimensional light cone.
method Analyzing entire constant mean curvature graphs in the light cone Q+3\mathbb{Q}^3_+ under the condition of bounded Gaussian curvature.
result Entire constant mean curvature graphs in the light cone are either horospheres or spheres.

Study of light function singularities on surfaces.

problem Characterizing singularities of the slant function on surfaces.
method Analyzing the differential geometry of the parabolic set and its spherical image under the Gauss map.
result The type of singularities of the slant function is determined by the geometry of the parabolic set and its spherical image.

The paper studies sections of time-like twistor spaces with specific covariant derivatives.

problem Sections of time-like twistor spaces with light-like or zero covariant derivatives.
method Analyzes conformal Gauss maps of time-like minimal surfaces and properties of almost paracomplex structures.
result Sections of time-like twistor spaces have light-like or zero covariant derivatives.

It is well known that any sufficiently regular one-dimensional payoff function has an explicit static hedge by bonds, forward contracts and lots of vanilla options. We show that the natural extension of the corresponding representation leads to a static hedge based on the same instruments along with traffic light optio…

2010-11-22abs ↗pdf ↗

A closed Riemannian manifold is said to have cross blocking if whenever distinct points p and q are at distance less than the diameter, all light rays from p can be shaded away from q with at most two point shades. Similarly, a closed Riemannian manifold is said to have sphere blocking if for each point p, all the ligh…

2007-04-27abs ↗pdf ↗

This study uses ARM to analyze pedestrian crashes under different lighting conditions.

problem Identifying crash risk factors under varying lighting conditions.
method Applied Association Rules Mining to Louisiana pedestrian crash data.
result Daylight crashes are associated with children, seniors, and older drivers.

Designs chiral photonic structures using machine learning for efficient optical properties.

problem Optimizing chiral photonic nanostructures for light-matter interactions.
method Evolutionary algorithm and neural network approach for rapid optimization.
result Frequency-dependent modification in reflected light's degree of circular polarization.

The Large Synoptic Survey Telescope will complete its survey in 2022 and produce terabytes of imaging data each night. To work with this massive onset of data, automated algorithms to classify astronomical light curves are crucial. Here, we present a method for automated classification of photometric light curves for a…

2019-09-10abs ↗pdf ↗

Finet uses FBN for efficient, lightweight neural networks.

problem Building efficient neural networks with limited computational resources.
method Introduces Fine-grained Batch Normalization (FBN) and a novel light-weight network (Finet) that combines FBN with standard convolution.
result Finet achieves state-of-the-art performance on ImageNet classification with reduced computational complexity.

We propose an automatic method to infer high dynamic range illumination from a single, limited field-of-view, low dynamic range photograph of an indoor scene. In contrast to previous work that relies on specialized image capture, user input, and/or simple scene models, we train an end-to-end deep neural network that di…

2017-04-01abs ↗pdf ↗

This study identifies RwD crash patterns on rural two-lane highways under different lighting conditions.

problem Insufficient investigation of RwD crashes under varying lighting conditions.
method Data mining using association rules mining (ARM) on crash database.
result Interesting crash patterns and risk factors identified under different lighting conditions.

We prove a concordance analogue of Gabai's 44-dimensional light bulb theorem. That is, we show that when RR and RR' are homotopically (smoothly) embedded 22-spheres in a 44-manifold X4X^4 where π1(X4)π_1(X^4) has no 22-torsion and one of RR or RR' has a transverse sphere, then RR and RR' are concordant. When $π_1…

2019-03-07abs ↗pdf ↗