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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.

168,695 papers · 148 categories

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5099149198 · Jun 202019922001200920172026
48 results for dimensions 4-7

Solves Jang's equation for hyperboloidal data in 4-7 dimensions, proving positive mass theorem.

problem Proving the positive mass theorem for asymptotically hyperbolic initial data sets in specific dimensions.
method Solves Jang's equation with hyperboloidal initial data in dimensions 4-7.
result Non-spinor proof of the positive mass theorem in 4-7 dimensions.

Study of singular curves in a specific type of hyperbolic distribution.

problem Characterizing singular curves in hyperbolic (4,7)(4, 7)-distributions.
method Introduced hyperbolic (4,7)(4, 7)-distributions of type C3C_3, described singular curves via prolongations.
result Completely described singular curves for hyperbolic (4,7)(4, 7)-distributions of type C3C_3.

Study on geodesics in a specific sub-Riemannian structure with two types of behavior.

problem Symmetries and geodesics in a sub-Riemannian structure with growth vector (4,7).
method Symmetry reduction to analyze geodesics.
result Existence of two distinct types of geodesics: those that avoid the fixed point set and those that are contained within it.

This is the second of three papers about the Compression Theorem. We give proofs of Gromov's theorem on directed embeddings [M Gromov, Partial differential relations, Springer--Verlag (1986); 2.4.5 C'] and of the Normal Deformation Theorem [The compression theorem I; 4.7], arxiv:math.GT/9712235.

2000-03-03abs ↗pdf ↗

This is the first of two articles in which we give a proof - for a broad class of four-manifolds - of Witten's conjecture that the Donaldson and Seiberg-Witten series coincide, at least through terms of degree less than or equal to c-2, where c is a linear combination of the Euler characteristic and signature of the fo…

2000-07-31abs ↗pdf ↗

We prove that if the lens space L(n,1)L(n, 1) is obtained by a surgery along a knot in the lens space L(3,1)L(3,1) that is distance one from the meridional slope, then nn is in {6,±1,±2,3,4,7}\{-6, \pm 1, \pm 2, 3, 4, 7\}. This result yields a classification of the coherent and non-coherent band surgeries from the trefoil to T(2,n)T(2, n) tor…

2017-10-20abs ↗pdf ↗

This article is based on a lecture by the first author at the International Georgia Topology Conference 2001 (Athens, Georgia) and the Mathematische Arbeitstagung 2001 (Bonn, Germany). We sketch a proof of Witten's formula relating the Donaldson and Seiberg-Witten series modulo powers of degree c+2, with c = -{1/4}(7 c…

2001-06-26abs ↗pdf ↗

D2P-Fed improves privacy and communication in federated learning.

problem Achieving both differential privacy and communication efficiency in federated learning.
method Applying discrete Gaussian noise to private data transmission.
result D2P-Fed outperforms state-of-the-art by 4.7% to 13.0% in model accuracy with one-third less communication cost.

Paper develops MMOT framework for financial applications with neural acceleration.

problem Financial optimization and calibration under multi-period martingale constraints.
method Theoretical analysis, incremental updates, adaptive sparse grids, hybrid neural-projection solver.
result Neural solver achieves 1597x speedup for real-time applications.

Machine learning improves learning and memory retention by optimizing study sessions.

problem Improving learning and memory retention methods for factual material.
method Large-scale randomized controlled trial with machine learning optimization of study sessions.
result Study sessions optimized with machine learning lead to 67% longer retention and 50% higher return rate.

In this sequel, employing more commutative algebra than that explored in \cite{CCJ}, we show that an isoparametric hypersurface with four principal curvatures and multiplicities (3,4)(3,4) in S15S^{15} is one constructed by Ozeki-Takeuchi \cite[I]{OT} and Ferus-Karcher-Münzner \cite{FKM}, referred to collectively as of OT-…

2010-02-06abs ↗pdf ↗

Quantum Signal Processing reduces derivative pricing quantum resource requirements.

problem Efficiently pricing financial derivatives on quantum computers.
method Quantum Signal Processing (QSP) to encode payoffs directly into quantum amplitudes.
result Significantly reduces quantum resources (T-gates and qubits) for practical derivative contracts.

The paper characterizes Pfaffian embeddings from 2,3,5-manifolds to 7-dimensional isotropic spaces.

problem Characterizing Pfaffian embeddings from (2,3,5)-into flat (4,7)-geometries.
method Analyzing Pfaffian embeddings with specific geometric constraints.
result A generic (2,3,5)-manifold does not embed, with the first obstruction being a double root in the Cartan quartic.

New method improves transfer and robustness of supervised contrastive learning.

problem Class collapse in supervised contrastive learning leads to poor representation quality.
method Adding a weighted class-conditional InfoNCE loss and a class-conditional autoencoder.
result Improves transfer and robustness on 5 standard datasets and 3 worst-group robustness datasets.

Ozeki and Takeuchi \cite[I]{OT} introduced the notion of Condition A and Condition B to construct two classes of inhomogeneous isoparametric hypersurfaces with four principal curvatures in spheres, which were later generalized by Ferus, Karcher and Münzner to many more examples via the Clifford representations; we will…

2009-07-02abs ↗pdf ↗

CwA optimizes search performance by jointly learning a balanced database partition and a neural probing function.

problem Suboptimal search performance due to mismatched database and query distributions.
method CwA jointly learns a balanced database partition and a neural probing function to optimize search performance directly for the query distribution.
result CwA achieves up to 4.7x throughput over state-of-the-art methods at equal recall.

Method predicts NAFLD risk with high accuracy and distribution-free coverage guarantees.

problem Insufficient population-level screening tools for NAFLD.
method Gradient-boosted decision trees with conformal prediction.
result Method achieves AUROC of 0.912 internally and 0.891 externally, superior to other models.

AR app visualizes Quranic Surah al-Fil for Islamic education.

problem Lack of interactive and context-rich learning materials for Quranic studies.
method Research and development approach, including data collection, user requirement analysis, interface design, 3D asset creation, and integration of AR technology.
result AR application achieved high accuracy and user satisfaction, enhancing learner engagement and understanding.

It is known that connected translation invariant nn-dimensional noncommutative differentials dxid x^i on the algebra k[x1,,xn]k[x^1,\cdots,x^n] of polynomials in nn-variables over a field kk are classified by commutative algebras VV on the vector space spanned by the coordinates. This data also applies to construct differe…

2017-01-22abs ↗pdf ↗

DeRegiME forecasts with regime structure, improving probabilistic predictions across various time series.

problem Probabilistic forecasting discards residual uncertainty, and distribution shifts are hard to capture.
method DeRegiME uses a sparse variational Gaussian process with a nonstationary regime-mixing kernel to separate latent uncertainty regimes.
result DeRegiME improves NLPD by 20.3% on average across benchmarks, with gains on CRPS and MSE.

A novel algorithm predicts customized allergy seasons using multi-variate triple-regression.

problem Predicting customized allergy seasons for individual patients.
method Triple-regression algorithm with pre-processing and three-stage regressions.
result Improved forecasting accuracy and reduced uncertainty.

Consider an oriented four-dimensional Lorentzian manifold (M~3,1,g~)(\widetilde{M}^{3, 1}, \widetilde{g}) and an oriented seven-dimensional Riemannian manifold (M7,g)(M^{7}, g). We describe a class of decomposable eleven-dimensional supergravity backgrounds on the product manifold $({\mathcal{M}}^{10, 1}=\widetilde{M}^{3,1} \times…

2018-02-01abs ↗pdf ↗

We consider the problem of governing systemic risk in a banking system model. The banking system model consists in an initial value problem for a system of stochastic differential equations whose dependent variables are the log-monetary reserves of the banks as functions of time. The banking system model considered gen…

2018-12-17abs ↗pdf ↗

Graph neural network optimizes energy-efficient precoding for massive MIMO systems.

problem Energy bottleneck in massive MIMO systems due to high DAC complexity and power consumption.
method Proposes a graph neural network to directly output precoded quantized vectors from channel matrix and transmit symbols.
result Significant increase in achievable sum rate with reduced DAC power consumption.

Defines and classifies Thurston geometries and connects simplicial volume to Kodaira dimension.

problem Classifying Thurston geometries and understanding their properties.
method Introduces an axiomatic definition for the Kodaira dimension and studies its compatibility with traditional notions.
result Establishes a connection between the simplicial volume and the holomorphic Kodaira dimension, showing implications for smooth Kähler 3-folds.

Paper relates asymptotic dimension to cofinal dimension using coarse proximities.

problem Relating asymptotic dimension to cofinal dimension in metric spaces.
method Introducing coarse proximities and inverse limit constructions.
result Asymptotic dimension is bounded by coarse cofinal dimension and cofinal dimension of Higson corona.

Our goal in this paper is to develop an effective estimator of fractal dimension. We survey existing ideas in dimension estimation, with a focus on the currently popular method of Grassberger and Procaccia for the estimation of correlation dimension. There are two major difficulties in estimation based on this method. …

2013-12-09abs ↗pdf ↗