Research
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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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13263952 · Jun 202019922001200920182026
48 results for data-driven journalism

Machine learning aids in bridging international news gaps.

problem Limited global understanding due to segmented news and language barriers.
method Combining machine learning, journalism studies, and statistics.
result Improved global perspective on international issues.

Paper introduces branched signature model for efficient computation and data-driven applications.

problem Efficient computation and data-driven modeling of branched rough paths.
method Develops a universal approximation theorem and constructs an extension map to realize branched signatures.
result Explicit construction of branched signatures via an extension map for efficient computation.

Machine learning analyzed peer reviews to find differences in quality by journal impact factor.

problem Determining if higher journal impact factors correlate with more thorough or helpful peer reviews.
method Hand-coded and machine-learned analysis of 10,000 peer review sentences from 1,644 journals.
result Peer reviews in higher impact factor journals are more thorough in discussing methods but less helpful in suggesting solutions and providing examples.

The study allocates income based on journal impact and coauthorship contributions.

problem Inequitable income distribution among co-authors of research papers.
method Uses journal impact factor and coauthorship contribution, applying Cantor's theory and Harmonic Credit Index.
result Develops a model for fair income distribution among authors.

Special issue on understanding physical processes from unusual diffusion patterns.

problem Understanding physical processes from anomalous diffusion data.
method Not explicitly described in the abstract, but likely involves analysis of data from the Anomalous Diffusion Challenge.
result Not explicitly stated, but likely includes analysis of physical processes from anomalous diffusion data.

Research shows how deepfakes can be used to manipulate accounting systems.

problem The vulnerability of CAATs to adversarial attacks.
method Developed a thread model to camouflage anomalies, used adversarial autoencoder neural networks to learn latent factors, demonstrated misuse of model to generate misleading entries.
result Adversarial autoencoder neural networks can learn and manipulate accounting data to deceive CAATs.

This is a continuous work about the nonexistence of some complete metrics on the product of two manifolds studied by Tam-Yu [Asian Journal of Mathematics, 14(2010)]. Motivated by the result of Tossati [Comm.Anal.Geom. 15(2007)]. We generalize the corresponding results of Tam-Yu [Asian Journal of Mathematics, 14(2010)] …

2011-09-12abs ↗pdf ↗

Topic model captures health journeys of multiple authors.

problem Challenges in topic modeling health journals due to asynchronous writing.
method Dynamic Author-Persona topic model (DAP) with regularized variational inference.
result Significant improvements over competing models, especially with regularization.

Paper finds first eigenvalues on minimal isoparametric hypersurfaces.

problem Finding first eigenvalues of bi-Beltrami-Laplacian on minimal isoparametric hypersurfaces.
method Variational argument to overcome difficulties in proving limit theorem.
result Determine the first eigenvalues of bi-Beltrami-Laplacian on isoparametric hypersurfaces.

Neural networks help auditors efficiently assess financial statements by learning underlying data patterns.

problem Efficiently auditing large volumes of financial statements and journal entries.
method Vector Quantised-Variational Autoencoder (VQ-VAE) neural networks.
result VQ-VAE neural networks can learn a quantized representation of accounting data, uncovering latent factors and providing a representative audit sample.

In this note we re-examine the analysis of the paper "On the martingale property of stochastic exponentials" by B. Wong and C.C. Heyde, Journal of Applied Probability, 41(3):654-664, 2004. Some counterexamples are presented and alternative formulations are discussed.

2011-05-19abs ↗pdf ↗

As a supplement to the authors' article "Prime knots with arc index up to 11 and an upper bound of arc index for non-alternating knots", to appear in the Journal of Knot Theory and its Ramifications, we present minimal arc presentations of the prime knots up to arc index 11.

2010-10-14abs ↗pdf ↗

We refurbish our axiomatics of differential geometry introduced in [Mathematics for Applications,, 1 (2012), 171-182]. Then the notion of Euclideaness can naturally be formulated. The principal objective in this paper is to present an adaptation of our theory of differential forms developed in [International Journal of…

2012-07-21abs ↗pdf ↗

In paper "A new twist on Lorenz links" (Journal of Topology 2(2009), 227-248) Joan Birman and Ilya Kofman prove the coincidence of the class of Lorenz links and the class of twisted links. The proof in that work is algebraic. We will identify this class in terms of grid diagrams and provide a transparent geometric argu…

2010-06-15abs ↗pdf ↗

Adversarial autoencoder networks detect accounting anomalies in latent space.

problem Detecting fraud in accounting data using handcrafted rules that fail to generalize.
method Adversarial autoencoder neural networks to learn semantic meaningful representations.
result The learned representation improves anomaly detection and interpretability.

We review (non-abelian) extensions of a given Lie algebra, identify a 3-dimensional cohomological obstruction to the existence of extensions. A striking analogy to the setting of covariant exterior derivatives, curvature, and the Bianchi identity in differential geometry is spelled out. In the new version references ad…

2000-05-04abs ↗pdf ↗

In this paper, we obtain a sharp upper bound for the sum of the first kk-th eigenvalues for this Dirichlet problem of poly-Laplacian with any order, which is viewed as an extension of the result due to Cheng and Wei (Journal of Differential Equations, 255 (2013), 220-233). In particular, if l=2l=2 and kk is large enou…

2013-07-19abs ↗pdf ↗

In a context where most published articles are devoted to the development of "new methods", comparison studies are generally appreciated by readers but surprisingly given poor consideration by many scientific journals. In connection with recent articles on over-optimism and epistemology published in Bioinformatics, thi…

2012-08-13abs ↗pdf ↗

The paper proposes a framework to recommend suitable conferences for authors.

problem Helping authors choose appropriate conferences for their research papers.
method Three approaches using social network and paper content, applying Correspondence Analysis (CA).
result Models show better performance than existing methods.

A membrane technique, in which the symplectic and Ricci forms are integrated over surfaces in a complexification of the phase space, as well a ``creation" connection with zero curvature over lagrangian submanifolds, is used to obtain a unified quantization including a noncommutative algebra of functions, its representa…

1995-08-09abs ↗pdf ↗

In dictionary learning, also known as sparse coding, the algorithm is given samples of the form y=Axy = Ax where xRmx\in \mathbb{R}^m is an unknown random sparse vector and AA is an unknown dictionary matrix in Rn×m\mathbb{R}^{n\times m} (usually m>nm > n, which is the overcomplete case). The goal is to learn AA and xx. T…

2014-01-03abs ↗pdf ↗

In this paper we introduce a new multivariate dependence measure based on comonotonicity by means of product moment which motivated by the recent papers of Koch and Schepper (ASTIN Bulletin 41 (2011) 191-213) and Dhaene et al. (Journal of Computational and Applied Mathematics 263 (2014) 78-87). Some differences and rel…

2014-10-29abs ↗pdf ↗

New method models intensity functions on spheres using normalizing flows.

problem Modeling non-homogeneous Poisson process intensity functions on the sphere.
method Flexible bijective map using normalizing flows to transform intensity functions.
result Normalizing flows provide a flexible way to model intensity functions on spheres.