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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.

168,742 papers · 148 categories

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4998147196 · May 202619922001200920172026
48 results for topology preservation

New method preserves topology in Hodge decomposition for scalar and vector fields.

problem Topology-preserving Hodge decomposition on manifolds with boundaries.
method Comprehensive 5-component decomposition in Eulerian representation.
result Effective numerical experiments validate the method's accuracy and orthogonality.

IVFS simplifies feature selection for high-dimensional data preservation.

problem Maintaining structure and pairwise distances in high-dimensional data.
method IVFS framework based on persistent diagrams from computational topology.
result IVFS well preserves pairwise distances and topological patterns of full data.

Reproduces IVFS for high-dimensional data structure preservation.

problem Preserving high-dimensional data structure in unsupervised feature selection.
method Inspired by random subset method, IVFS maintains data similarity through topological structure.
result IVFS outperforms SPEC and MCFS on most datasets.

Topologically and geometrically engaging actions have proved to be useful to obtain rigidity results for semisimple Lie group actions. We show that the action of a simple noncompact Lie group on a compact manifold preserving a unimodular rigid geometric structure of algebraic type (e.g. a connection together with a vol…

2012-01-10abs ↗pdf ↗

Study reveals failure of uniqueness in dynamical invariants for 3D volume-preserving diffeomorphisms.

problem Uniqueness of dynamical invariants for 3D volume-preserving diffeomorphisms.
method Examined failure of uniqueness on integral homology spheres and arbitrary three-manifolds using local and global invariants.
result Failure of uniqueness is severe, with continuous and non-constant invariants appearing in C1C^1-open sets of nonvanishing exact fields of fixed helicity.

We propose a novel approach for preserving topological structures of the input space in latent representations of autoencoders. Using persistent homology, a technique from topological data analysis, we calculate topological signatures of both the input and latent space to derive a topological loss term. Under weak theo…

2019-06-03abs ↗pdf ↗

Pluriclosed flow preserves Hermitian-symplectic structures and forms, with topological constraints.

problem Preserving Hermitian-symplectic structures under pluriclosed flow.
method Consideration of an extra evolution equation determined by the Bismut-Ricci form.
result Obtained topological obstruction to long-time existence in arbitrary dimensions.

Paper proposes G-CRD to improve GNNs by preserving global graph topology.

problem Improving lightweight GNNs for robust performance on large-scale real-world graphs.
method Introduces Graph Contrastive Representation Distillation (G-CRD) using contrastive learning.
result G-CRD consistently boosts GNN performance and robustness, outperforming existing methods.

An algorithm preserves topological features in dimensionality reduction.

problem Preserving topological features in dimensionality reduction.
method Simulated annealing for finding a linear projection preserving persistent homology.
result Measures of topological equivalence between filtrations.

The study explores how different Grothendieck topologies and functors between categories preserve locality.

problem Exploring relationships between different Grothendieck topologies and functors.
method Using Grothendieck topologies and functors to relate categories and geometric objects.
result Objects like sheaves, groupoids, and functors are invariant under equivalences of Grothendieck topologies and certain functors.

Regularization preserves topological data structure in autoencoders.

problem Ensuring topological data structure preservation in autoencoders.
method Regularization using Legendre nodes to preserve manifold embedding.
result Regularized autoencoders ensure one-to-one embedding of data manifolds.

This paper determines all possible topological symmetry groups of generalized Petersen graphs.

problem Identifying all topological symmetry groups of generalized Petersen graphs.
method Analyzing embeddings of generalized Petersen graphs in S3S^3 and considering homeomorphisms.
result All groups that can be topological symmetry groups of generalized Petersen graphs are identified.

Improved retinal vessel segmentation with topology preservation trade-off.

problem Retinal vessel segmentation accuracy and topology preservation trade-off.
method Topology preserving term in the loss function and orientation score guided convolutional module.
result Model achieves higher topological accuracy at the expense of lower overlap metrics.

We prove that graph products constructed over infinite graphs with bounded clique number preserve finite asymptotic dimension. We also study the extent to which Dranishnikov's property C, and Dranishnikov and Zarichnyi's straight finite decomposition complexity are preserved by constructions such as unions, free produc…

2013-09-24abs ↗pdf ↗

FibeRed reduces complex data dimensions while preserving topology.

problem Hard embedding of topologically complex datasets in low-dimensional Euclidean space.
method Modeling datasets with vector bundles, reducing fibers while preserving topology.
result FibeRed learns topologically faithful embeddings in lower dimensions than existing methods.

Paper tackles few-shot class-incremental learning with a neural gas network.

problem Incrementally learn new classes from very few labelled samples without forgetting old classes.
method Proposes TOPIC framework using a neural gas network to preserve class topology and adapt to new samples.
result Significantly outperforms other methods on CIFAR100, miniImageNet, and CUB200 datasets.

Curvature regularization prevents distortion in graph embeddings.

problem Graph topology patterns distort in Euclidean space, making detection difficult.
method Proposes curvature regularization to enforce flatness in embedding manifolds.
result Significant improvements in five embedding methods on open graph datasets.

We study the long time behavior of the volume preserving pp-flow in Rn+1\mathbb{R}^{n+1} for 1p<n+1n11\leq p<\frac{n+1}{n-1}. By extending Andrews' technique for the flow along the affine normal, we prove that every centrally symmetric solution to the volume preserving pp-flow converges sequentially to the unit ball in the $…

2012-11-29abs ↗pdf ↗

This paper is first-line research expanding GANs into graph topology analysis. By leveraging the hierarchical connectivity structure of a graph, we have demonstrated that generative adversarial networks (GANs) can successfully capture topological features of any arbitrary graph, and rank edge sets by different stages a…

2017-07-19abs ↗pdf ↗

In this paper we initiate a study of the topological group PPQI(G,H)PPQI(G,H) of pattern-preserving quasi-isometries for GG a hyperbolic Poincare duality group and HH an infinite quasiconvex subgroup of infinite index in GG. Suppose G\partial G admits a visual metric dd with dimH<dimt+2dim_H < dim_t +2, where dimHdim_H is the Hausd…

2009-06-23abs ↗pdf ↗

In this paper, we consider a new length preserving curve flow for convex curves in the plane. We show that the global flow exists, the area of the region bounded by the evolving curve is increasing, and the evolving curve converges to the circle in C-infinity topology as t goes to infinity.

2008-11-13abs ↗pdf ↗

In this note we consider the relationship between the dressing action and the holonomy representation in the context of constant mean curvature surfaces. We characterize dressing elements that preserve the topology of a surface and discuss dressing by simple factors as a means of adding bubbles to a class of non finite…

2004-04-27abs ↗pdf ↗

Suppose M is a noncompact connected 2-manifold and m is a good Radon measure of M with m(partial M) = 0. Let H(M)_0 denote the identity component of the group of homeomorphisms of M equipped with the compact-open topology and let H(M; m)_0 denote the identity component of the subgroup consisting of m-preserving homeomo…

2005-07-16abs ↗pdf ↗

We study groups of circle diffeomorphisms whose action on the cylinder C=S1×S1Δ\mathcal C=\mathbb S^1\times \mathbb S^1\setminus Δ preserves a volume form. We first show that such a group is topologically conjugate to a subgroup of PSL(2,R)\rm{PSL}(2,\mathbb R), then discuss the existence of a differentiable conjugacy.

2014-02-03abs ↗pdf ↗

The study connects electromagnetic structures to Legendrian fields on the 3-sphere.

problem Understanding the topology of stable electromagnetic structures.
method Connecting null solutions to Maxwell's equations with Legendrian fields on the 3-sphere.
result Any (possibly knotted) toroidal surface can be realized as a magnetic surface of a null solution, implying stability.

The paper studies totally nonnegative parts of flag varieties and their topologies.

problem Understanding the topology of totally nonnegative flag varieties.
method Algebraic, geometric, and dynamical perspectives; orbit context; gradient flows; Riemannian metrics.
result Positivity is preserved in certain metrics on the totally nonnegative part of flag varieties.

In this paper we construct effective invariants for braid monodromy of affine curves. We also prove that, for some curves, braid monodromy determines their topology. We apply this result to find a pair of curves with conjugate equations in a number field but which do not admit any orientation-preserving homeomorphism.

2001-05-18abs ↗pdf ↗