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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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48 results for homological selection

We analyze decision boundaries using topological data analysis.

problem Quantifying deep neural network complexity for model selection.
method We use labeled Čech complex, plain labeled Vietoris-Rips complex, and locally scaled labeled Vietoris-Rips complex to infer persistent homology of decision boundaries.
result We provide theoretical conditions and analysis for recovering the homology of a decision boundary from samples.

Given a multifunction from XX to the kk-fold symmetric product Symk(X)Sym_k(X), we use the Dold-Thom Theorem to establish a homological selection Theorem. This is used to establish existence of Nash equilibria. Cost functions in problems concerning the existence of Nash Equilibria are traditionally multilinear in the mixe…

2011-11-03abs ↗pdf ↗

We implement methods from computational homology to obtain a topological signal of singularity formation in a selection of geometries evolved numerically by Ricci flow. Our approach, based on persistent homology, produces precise, quantitative measures describing the behavior of an entire collection of data across a di…

2015-02-09abs ↗pdf ↗

Ensemble method ranks homologous proteins robustly across various similarity metrics.

problem Ranking homologous proteins in a candidate set with high accuracy and robustness.
method Ensemble of models and assessment metrics, phalanxes, and aggregation of diverse metrics.
result Ensemble of phalanxes identifies strong and diverse subsets of feature variables for robust ranking.

Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold are important topological invariants that provide an algebraic summary of the manifold. These groups contain rich topological information, for…

2011-12-23abs ↗pdf ↗

This paper interprets critical scales in persistent homology for compact metric spaces.

problem Understanding critical scales in persistent homology for general compact metric spaces.
method Analyzing local minima of the distance function and their impact on persistence.
result Each decrease in zero-dimensional persistence and increase in one-dimensional persistence is induced by local minima of the distance function.

Persistent homology improves fingerprint classification accuracy.

problem Classifying fingerprints into arch, loop, and whorl groups.
method Applying topological data analysis (TDA) to 3D point clouds of oriented minutiae points and ink-roll images, using supervised learning.
result Achieves near state-of-the-art classification accuracy rates.

A new method for optimal filtration learning in time-series data analysis.

problem Finding an optimal filtration for analyzing topological properties of discrete data.
method Formulated an optimization problem and proposed an algorithm for solving it.
result Derivation of the exact formula of the gradient of the loss function with respect to filtration parameters.

This review explores TDA and TDL beyond persistent homology.

problem Limitations of persistent homology in capturing topological invariants and homotopic evolution.
method Spectral representations, sheaf theory, Mayer topology, interaction topology, differential topology, geometric topology.
result Review of topological tools for various data types.

The paper optimizes autoencoder latent spaces for one-class learning with controlled connectivity.

problem Learning representations with controllable connectivity for better upstream tasks.
method A novel loss function based on persistent homology controls the connectivity of autoencoder latent spaces.
result The controlled connectivity in latent space improves one-class learning performance, especially in low sample size scenarios.

The paper develops a new mathematical framework for group-equivariant operators in machine learning.

problem Developing a robust mathematical framework for group-equivariant operators in machine learning.
method The paper introduces group-equivariant non-expansive operators (GENEOs) and studies their topological and metric properties.
result The space of GENEOs is compact and convex, providing fundamental guarantees for machine learning.

Extends Khovanov homology spectral sequence using Heegaard Floer homology.

problem Relating Khovanov homology and Heegaard Floer homology of branched double covers.
method Involutive Heegaard Floer homology, bordered Floer homology, surgery exact triangle.
result Establishes spectral sequence connecting Khovanov homology and Heegaard Floer homology.

The paper constructs new rational homology 3-spheres bounding rational homology 4-balls.

problem Constructing rational homology 3-spheres that bound rational homology 4-balls.
method Exploring plumbed 3-manifolds and using rational homology circles.
result Infinite families of rational homology 3-spheres that bound rational homology 4-balls.

RCLA reduces noise in topological data analysis, preserving essential structure.

problem Noise in large datasets obscures topological features in persistent homology.
method Grid-based RCLA integrates data reduction and denoising with a threshold parameter.
result RCLA provides a theoretical guarantee and automatic parameter selection.

Khovanov and chromatic homologies show similar patterns, improving chromatic bounds and computing Jones polynomial.

problem Understanding similarities between Khovanov and chromatic homologies.
method Analyzing isomorphism and improving bounds using explicit formulas.
result Improved bounds for chromatic homology and explicit formula for chromatic homology rank.

Study ribbon homology concordances using link Floer homology.

problem Understanding ribbon homology concordances and their effects on link Floer homology.
method Combining results from Daemi, Lidman, Vela-Vick, Wong, and Zemke, using link Floer homology and torsion submodules.
result Ribbon homology concordances induce split injections on HFL\mathcal{HFL}^-.

The paper introduces representation homology of topological spaces and its connections to other homology theories.

problem Understanding the algebraic structure of topological spaces through representation homology.
method Developed a geometric relation between representation homology and higher Hochschild homology, constructed maps and spectral sequences, and computed explicit examples.
result Representation homology of the suspension of a space is isomorphic to its higher Hochschild homology.

The paper examines lattice homology invariants of Seifert homology spheres.

problem Understanding homology cobordism invariants for Seifert fibered integral homology 3-spheres.
method Utilizes lattice homology and Heegaard Floer homology to study invariants.
result Reproves and extends the invariance of Seifert homology spheres' dd-invariants and maximal monotone subroots.

Study improves Heegaard Floer homology relations for knots in homology spheres.

problem Improving relations in Heegaard Floer homology for knots in homology spheres.
method Proved inequality for d-invariants, used reduced Floer homology rank relations.
result Degree one maps between aspherical Seifert homology spheres are homotopic to homeomorphisms if Heegaard Floer homologies are isomorphic.

Paper studies spectral invariants and monopole Floer homology for rational homology three-spheres.

problem Tackles the existence of positive scalar curvature metrics on ribbon homology cobordisms.
method Defines an R-filtration on the equivariant complex of monopole Floer homology via Chern-Simons-Dirac functional, leading to a spectral invariant.
result Shows that the spectral invariant provides an obstruction to the existence of positive scalar curvature metrics on ribbon homology cobordisms.

We compare the homology groups HnIC(X)H_n ^{IC}(X) of the chain complex of integral currents with compact support of a metric space XX with the singular Lipschitz homology HnL(X)H^L_n (X) and with ordinary singular homology. If XX satisfies certain cone inequalities all these homology theories coincide. On the other hand, for…

2009-02-23abs ↗pdf ↗

In~\cite{rotvandervorst} a homology theory --Morse-Conley-Floer homology-- for isolated invariant sets of arbitrary flows on finite dimensional manifolds is developed. In this paper we investigate functoriality and duality of this homology theory. As a preliminary we investigate functoriality in Morse homology. Functor…

2014-09-16abs ↗pdf ↗