arXiv research

Researchers found a canonical form for pairs of Hermitian and antilinear operators.

New algebraic structures for topological pairs.

A new method for fairness in machine learning without explicit protected attributes.

In this paper, we introduce some notions on the pair consisting of a Chern connection and a Higgs field closely related to the first and second variation of Yang-Mills- Higgs functional, such as strong Yang-Mills-Higgs pair, degenerate Yang-Mills-Higgs pair, stable Yang-Mills-Higgs pair. We investigate some properties …

We study the geometry of manifolds carrying symplectic pairs consisting of two closed 2-forms of constant ranks, whose kernel foliations are complementary. Using a variation of the construction of Boothby and Wang we build contact-symplectic and contact pairs from symplectic pairs.

CrossNet uses cross-consistency to improve unpaired image translation.

A Triangle Generative Adversarial Network ($Δ$-GAN) is developed for semi-supervised cross-domain joint distribution matching, where the training data consists of samples from each domain, and supervision of domain correspondence is provided by only a few paired samples. $Δ$-GAN consists of four neural networks, two ge…

New method learns functions without paired data using mediating variables.

We investigate the spectra of a family of pairs (M_i,A_i) consisting of a complete Riemannian manifold M_i and a closed subset A_i and which converge in the Lipschitz topology to a pair (M,A). This is used to construct manifolds of bounded curvature, nonempty essential spectrum, infinitely many eigenvalues below the es…

PAIR-CI calibrates CI tests for causal discovery with incomplete data.

Let M be a compact connected special affine manifold equipped with an affine Gauduchon metric. We show that a pair (E, φ), consisting of a flat vector bundle E over M and a flat nonzero section φ of E, admits a solution to the vortex equation if and only if it is polystable. To prove this, we adapt the dimensional redu…

Improved unsupervised word translation using adversarial autoencoder with cycle consistency and input reconstruction.

Algorithm combines ESG ratings with pairs trading for sustainable investing.

MIC consistently estimates dependence in large datasets.

New method selects stock pairs for pairs trading considering lead-lag relationship.

LC-GNN improves GNNs for node classification by incorporating label consistency.

Develops optimal trading strategy for illiquid currency pairs.

Novel method adapts MRI brain images across multiple domains.

New method detects inconsistencies in AHP matrices using triadic preference reversals.

A principal pair consists of a holomorphic principal $G$-bundle together with a holomorphic section of an associated Kaehler fibration. Such objects support natural gauge theoretic equations coming from a moment map condition, and also admit a notion of stability based on Geometric Invariant Theory. The Hitchin--Kobaya…

New rule universally consistent for online learning with non-ergodic data.

Levy copulas are the most general concept to capture jump dependence in multivariate Levy processes. They translate the intuition and many features of the copula concept into a time series setting. A challenge faced by both, distributional and Levy copulas, is to find flexible but still applicable models for higher dim…

The paper provides a combinatorial criterion for realizing tropical pluri-canonical divisors.

The purpose of this paper relies on the study of long term yield curves modeling. Inspired by the economic litterature, it provides a financial interpretation of the Ramsey rule that links discount rate and marginal utility of aggregate optimal consumption. For such a long maturity modelization, the possibility of adju…

This paper is concerned with a pairs trading rule. The idea is to monitor two historically correlated securities. When divergence is underway, i.e., one stock moves up while the other moves down, a pairs trade is entered which consists of a pair to short the outperforming stock and to long the underperforming one. Such…

GP-ND avoids obstacles in trajectory planning using Gaussian Process regression.

To construct mirror symmetric Landau-Ginzburg models, P.Berglund, T.Hübsch and M.Henningson considered a pair $(f,G)$ consisting of an invertible polynomial $f$ and an abelian group $G$ of its symmetries together with a dual pair $(\widetilde{f}, \widetilde{G})$. Here we study the reduced orbifold Euler characteristics…

Deep learning predicts currency volatility accurately.

The paper shows that knot projections without triple chords can be simplified.

GeoLifeCLEF 2020 dataset pairs species observations with environmental data.

We classify algebraic curvature tensors such that the Ricci operator is simple (i.e. the Ricci operator is complex diagonalizable and either the complex spectrum consists of a single real eigenvalue or the complex spectrum consists of a pair of eigenvalues which are complex conjugates of each other) and which are Jacob…

CCAligned creates a massive web document dataset for cross-lingual research.

We prove that certain dual pairs of Calabi-Yau manifolds have matching orbifold Euler characteristics.

Corrects a mistake in $hv$-block cross-validation consistency claim.

Algorithm estimates nonparametric mixtures from grouped data.

Study optimal pairs trading with transaction costs using stochastic control.

New Kazdan-Warner problem for equivariant metrics on manifolds.

We consider Lagrangian-like submanifolds in certain even-dimensional 'symplectic-like' Poisson manifolds. We show, under suitable transversality hypotheses, that the pair consisting of the ambient Poisson manifold and the submanifold has unobstructed deformations and that the deformations automatically preserve the Lag…

A new method for conditional sampling using paired Wasserstein Autoencoders.

We give a differential-geometric construction and examples of Calabi-Yau threefolds, at least one of which is {\it{new}}. Ingredients in our construction are {\it admissible pairs}, which were dealt with by Kovalev in \cite{K03} and further studied by Kovalev and Lee in \cite{KL11}. An admissible pair $(\overline{X},D)…

Study equivalence between Hessian and Born structures on tangent bundles.

A pair trade is a portfolio consisting of a long position in one asset and a short position in another, and it is a widely applied investment strategy in the financial industry. Recently, Ekström, Lindberg and Tysk studied the problem of optimally closing a pair trading strategy when the difference of the two assets is…

A new method detects changes in multivariate data using random forests.

New MMD estimators detect differences in missing paired data.

In this paper, the moduli space of singular unitary Hermitian--Einstein monopoles on the product of a circle and a Riemann surface is shown to correspond to a moduli space of stable pairs on the Riemann surface. These pairs consist of a holomorphic vector bundle on the surface and a meromorphic automorphism of the bund…

In the past decades, intensive efforts have been put to design various loss functions and metric forms for metric learning problem. These improvements have shown promising results when the test data is similar to the training data. However, the trained models often fail to produce reliable distances on the ambiguous te…

New algorithm calibrates local volatility from option prices using deep neural networks.

The paper explores conic-line arrangements via Poncelet's theorem and finds families of reducible curves.