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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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14294357 · Mar 202619922001200920182026
48 results for S2 sphere

S2 is a graph-based active learning algorithm for binary label prediction with theoretical guarantees.

problem Binary label prediction on graphs with theoretical guarantees.
method S2 selects vertices to label based on shortest shortest paths between oppositely labeled vertices.
result S2 achieves near minimax optimal excess risk for nonparametric classification problems.

Researchers create finite-time blow-up solutions for harmonic map flow into S2.

problem Constructing finite-time blow-up solutions for harmonic map flow into S2.
method Constructing finite time blow-up solutions with specific conditions and proving the blow-up behavior.
result First example of blow-up solution with a space-codimension 2 singular set.

TelePiT improves S2S forecasting by integrating physics and teleconnections.

problem Challenges in subseasonal-to-seasonal climate forecasting due to chaotic dynamics and complex interactions.
method Integrates physics and teleconnections into a transformer architecture with spherical embedding and multi-scale physics-informed neural ODE.
result Significantly outperforms state-of-the-art methods across all forecast horizons.

On a natural circle bundle T(M) over a 4-dimensional manifold M equipped with a split signature metric g, whose fibers are real totally null selfdual 2-planes, we consider a tautological rank 2 distribution D obtained by lifting each totally null plane horizontally to its point in the fiber. Over the open set where g i…

2012-10-12abs ↗pdf ↗

The paper shows how certain circle families in S1imesD3S^1 imes D^3 relate to sphere families in S2imesD2S^2 imes D^2 and induces nontrivial barbell diffeomorphisms.

problem Understanding the relationship between circle and sphere families in specific 3-manifolds.
method Analyzing the fundamental groups and ambient extensions of circle and sphere families.
result Induces nontrivial barbell diffeomorphisms of S1imesS2imesIS^1 imes S^2 imes I.

We induce a Poisson algebra {,}Cn,N\{\cdot,\cdot\}_{\mathcal{C}_{n,N}} on the configuration space Cn,N\mathcal{C}_{n,N} of NN twisted polygons in RPn1\mathbb{RP}^{n-1} from the swapping algebra \cite{L12}, which is found coincide with Faddeev-Takhtajan-Volkov algebra for n=2n=2. There is another Poisson algebra $\{\cdot,\cdot\}…

2014-12-14abs ↗pdf ↗

Complete, conformally flat metrics of constant positive scalar curvature on the complement of kk points in the nn-sphere, k2k \ge 2, n3n \ge 3, were constructed by R\. Schoen [S2]. We consider the problem of determining the moduli space of all such metrics. All such metrics are asymptotically periodic, and we develop…

1994-06-30abs ↗pdf ↗

Sharp systolic inequality for invariant tight contact forms on S1-bundles over S2.

problem Finding the shortest period of closed Reeb orbits on invariant tight contact forms.
method Proving a sharp systolic inequality based on the Euler class of the bundle.
result A behavior of the systolic inequality depends on the Euler class of the bundle.

Researchers use conformal infinity to study spacetimes near AdS2×S2.

problem Studying the rigidity of asymptotically AdS2×S2 spacetimes.
method Developed a new approach based on conformal infinity.
result Obtained new results including similar to [4] but for higher dimensions and more than two ends.

Study describes bifurcations and solutions of a specific equation on a particular manifold.

problem Analyzing bifurcations and solutions of the vacuum Lichnerowicz equation.
method Exhaustive description of bifurcations and solutions on S1imesS2S^1 imes S^2 with invariant seed data.
result Description of CMC slicings of Schwarzschild-de Sitter and Nariai solutions.

RNGI model bridges two probability densities on Riemannian manifolds efficiently.

problem Limited applicability of Euclidean stochastic interpolants to Riemannian manifolds.
method Introduces RNGI model interpolating between Riemannian manifold probability densities along geodesics.
result Proves temporal marginal density solves transport equation on Riemannian manifold.

This is a survey on the global theory of constant mean curvature surfaces in Riemannian homogeneous 3-manifolds. These ambient 3-manifolds include the eight canonical Thurston 3-dimensional geometries, i.e. R3, H3, S3, H2 \times R, S2 \times R, the Heisenberg space Nil3, the universal cover of PSL2(R) and the Lie group…

2010-04-27abs ↗pdf ↗

New non-holomorphic Lefschetz fibrations with (1)(-1)-sections found.

problem Existence of non-holomorphic Lefschetz fibrations.
method Constructing fibrations over S2S^2 with (1)(-1)-sections using positive relators.
result Found two types of non-holomorphic Lefschetz fibrations with (1)(-1)-sections.

In our previous work [PSSW], we showed that the Ricci flow on S^2 whose initial metric has conical singularities \sum_{j=1}^k β_j[p_j] converges to a constant curvature metric with conic singularities (in the stable and semi-stable cases) or to a gradient shrinking soliton with conical singularities (in the unstable ca…

2015-03-15abs ↗pdf ↗

Paper proposes a deep learning method for person re-identification using set to set distance.

problem Matching images of the same person across different camera views with large appearance variations.
method Uses deep learning to model set to set (S2S) distance, focusing on intra-class compactness and inter-class separation.
result The method effectively finds matched targets in video galleries, outperforming state-of-the-art approaches.

We define a manifold MM where objects cMc\in M are curves, which we parameterize as c:S1Rnc:S^1\to R^n (n2n\ge 2, S1S^1 is the circle). Given a curve cc, we define the tangent space TcMT_cM of MM at cc including in it all deformations h:S1Rnh:S^1\to R^n of cc. In this paper we study geometries on the manifold of curves, pr…

2006-04-30abs ↗pdf ↗

Reflection principles for harmonic and holomorphic maps from Hermitian symmetric spaces.

problem Establishing reflection principles for harmonic and holomorphic maps between Riemannian manifolds.
method Introducing recursive real forms and proving reflection principles for harmonic and holomorphic maps from Hermitian symmetric spaces.
result Reflection principles for harmonic and holomorphic maps from a class of Hermitian symmetric spaces.

Model financial dynamics using 2-manifold geometries, revealing the torus as best for cyclical data.

problem Financial forecasting using complex market data.
method Embedding market data onto 2-manifolds (S2, R2, H2, T) guided by uniformization theorem, inferring latent curvature.
result The torus geometry best predicts cyclical financial data, aligning with IS-LM theory.

A new causal deepset framework improves off-policy evaluation under complex interference.

problem Handling spatio-temporal interference in off-policy evaluation.
method Permutation invariance assumption and novel algorithms incorporating it.
result Significantly more precise estimations than existing methods.

New method maps land cover using radar and optical satellite images.

problem Efficiently exploiting multiple sources of information for land cover mapping.
method Deep learning framework with attention mechanism and pretraining strategy.
result Attention mechanism and extended RNN model outperform competitors.

New algorithm improves Dark Matter detection accuracy.

problem Reconstructing Dark Matter interactions with high precision.
method Likelihood-free framework with Bayesian Optimization for Likelihood-Free Inference (BOLFI).
result BOLFI improved reconstruction accuracy by up to 15%.

The paper computes the Kauffman bracket skein module of S1imesS2S^1 imes S^2 via braids.

problem Computing the Kauffman bracket skein module of S1imesS2S^1 imes S^2.
method Two methods: extending a universal invariant to S1imesS2S^1 imes S^2 via braid band moves and a diagrammatic approach.
result The Kauffman bracket skein module of S1imesS2S^1 imes S^2 is not torsion-free and its free part is generated by the unknot.

Study examines how body segments respond to random vibrations.

problem Understanding human body responses to random vibrations.
method 35 participants were tested with random noise signals. Multiple linear regression models were created to determine influential predictors of peak translational gains.
result Multiple predictors, including motion direction and body segment, significantly influence peak translational gains.

STAF solves large-scale phase retrieval problems from magnitude-only measurements.

problem Phase retrieval from magnitude-only quadratic equations.
method STAF is a novel iterative approach combining stochastic variance reduced gradient and stochastic truncated gradient iterations.
result STAF can recover any signal exactly from about 2.3n magnitude-only measurements, outperforming existing methods.

The study classifies branched Willmore spheres in 3- and 4-spheres.

problem Classifying branched Willmore spheres in 3- and 4-spheres.
method Analyzing variational branched Willmore spheres and their projections onto R3\mathbb{R}^3 and R4\mathbb{R}^4.
result Improved C1,1C^{1,1} regularity of unit normals and integer multiples of width in sphere eversion.

Kervaire's sphere-link is equivalent to a ribbon sphere-link, simplifying complex 2-complexes.

problem Understanding the structure of 2-complexes and their asphericity.
method Using Kervaire's sphere-link and ribbon sphere-link equivalence, analyzing the compact complement of ribbon disk-links.
result Every connected subcomplex of a contractible finite 2-complex is aspherical.

The 3-sphere has either 2 minimal 2-spheres or an optimal foliation by 2-spheres.

problem Proving existence of minimal 2-spheres or optimal foliations in arbitrary Riemannian 3-spheres.
method Analyzing the properties of arbitrary Riemannian metrics on 3-spheres.
result The existence of at least two minimal 2-spheres or an optimal foliation in 3-spheres with arbitrary metrics.

ConvS2S-VC converts voice characteristics and pitch contour using a fully convolutional seq2seq model.

problem Voice conversion with preservation of pitch contour and duration.
method Fully convolutional seq2seq architecture with conditional batch normalization.
result ConvS2S-VC outperforms baseline methods in sound quality and speaker similarity.