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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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137274411548 · Jun 202019922001200920172026
48 results for group classification

Develops MGQDA for multi-group classification with theoretical guarantees and practical applications.

problem Complex multi-group classification problems with nonlinear decision boundaries and group-specific covariance patterns.
method MGQDA, a method based on quadratic discriminant analysis that projects predictors onto a lower-dimensional subspace.
result MGQDA achieves competitive or improved predictive performance compared to existing methods.

Optimal classification requires choosing the right group symmetries, contrary to intuition.

problem Improving binary classification performance by selecting appropriate group symmetries.
method Developed a theoretical framework for designing group equivariant neural networks.
result Optimal classification performance is achieved by selecting the appropriate subgroups of symmetries, not the largest equivariant groups.

A preliminary group classification of the class 2D nonlinear heat equations ut=f(x,y,u,ux,uy)(uxx+uyy)u_t=f(x,y,u,u_x,u_y)(u_{xx}+u_{yy}), where ff is arbitrary smooth function of the variables x,y,u,uxx,y,u,u_x and uyu_y using Lie method, is given. The paper is one of the few applications of an algebraic approach to the problem of group classific…

2009-08-26abs ↗pdf ↗

The study classifies Heintze groups up to isometry and quasi-isometry in low dimensions.

problem Classifying Heintze groups up to isometry and quasi-isometry in low dimensions.
method Analyzing quasi-isometries and isometries of Heintze groups, applying existing tools to groups of dimension 4 and 5.
result Complete classification of simply connected solvable groups in dimension 4 and groups of polynomial growth in dimension 5 up to isometry.

Classifies when homeomorphism groups of stable surfaces have automatic continuity.

problem Determining when homeomorphism groups of stable surfaces are continuous.
method Developed a general framework to prove automatic continuity for homeomorphism groups, applied to stable surfaces and Stone spaces.
result Classification of stable surfaces with respect to automatic continuity of their homeomorphism groups.

This paper completes the classification of certain nilpotent Lie groups with specific geometric structures.

problem Classifying nilpotent Lie groups with purely coclosed G2-structures.
method Analyzing seven-dimensional nilpotent Lie groups of various steps.
result Classification of indecomposable 5- and 6-step nilpotent Lie groups with these structures.

Selective classification can worsen accuracy disparities between groups.

problem Selective classification can magnify existing accuracy disparities between various groups.
method Study of margin distribution and distributionally-robust models.
result Selective classification can uniformly improve each group on distributionally-robust models.

We survey the existing parts of a classification of finite groups generated by orthogonal transformations in a finite-dimensional Euclidean space whose fixed point subspace has codimension one or two and extend it to a complete classification. These groups naturally arise in the study of the quotient of a Euclidean spa…

2015-09-23abs ↗pdf ↗

The paper classifies left-invariant pseudo-Riemannian metrics on specific Lie groups.

problem Classifying left-invariant pseudo-Riemannian metrics on Lie groups.
method Analyzing left-invariant metrics on specific Lie groups with n4n \geq 4.
result A complete classification of left-invariant pseudo-Riemannian metrics for Lie groups of dimension n4n \geq 4.

In this paper we complete the classification of topological symmetry groups for complete graphs KnK_n by characterizing which KnK_n can have a cyclic group, a dihedral group, or a subgroup of Dm×DmD_m \times D_m where mm is odd, as its topological symmetry group.

2012-05-07abs ↗pdf ↗

Homotopy classification for certain 4-manifolds with dihedral fundamental groups.

problem Classifying the homotopy types of specific 4-manifolds with dihedral fundamental groups.
method Using quadratic 2-type and combining with results from Hambleton-Kreck and Bauer.
result Homotopy types of finite oriented Poincaré 4-complexes are determined by their quadratic 2-type when fundamental group is dihedral.

This report aims at giving a general overview on the classification of the maximal subgroups of compact Lie groups (not necessarily connected). In the first part, it is shown that these fall naturally into three types: (1) those of trivial type, which are simply defined as inverse images of maximal subgroups of the cor…

2006-05-31abs ↗pdf ↗

New classification of nonorientable 4-manifolds with specific fundamental groups.

problem Classifying nonorientable 4-manifolds with cyclic fundamental groups.
method Simple cut-and-paste construction, using results from Hambleton-Kreck-Teichner and Khan.
result Plausible classification of a large set of nonorientable 4-manifolds with cyclic fundamental groups of order 2p.

Classifies and computes cohomologies of complex structures on Lie groups.

problem Classifying and computing cohomologies of complex structures on Lie groups.
method Complete classification and computation of invariant cohomologies for left invariant structures.
result Computed invariant cohomologies for various generalized complex and Kähler structures.

Dual-stage sEMG classification improves gesture recognition accuracy.

problem Improving accuracy in hand gesture recognition from sEMG signals.
method Dual-stage classification approach: first stage groups similar activities, second stage classifies within groups.
result Dual-stage classification yields significantly higher accuracy than single-stage approach.

The present paper solves the problem of the group classification of the general Burgers' equation ut=f(x,u)ux2+g(x,u)uxxu_t=f(x,u)u_x^2+g(x,u)u_{xx}, where ff and gg are arbitrary smooth functions of the variable xx and uu, by using Lie method. The paper is one of the few applications of an algebraic approach to the problem of group c…

2009-08-26abs ↗pdf ↗

Classifies invariant generalised Killing spinors on Lie groups.

problem Classifying invariant generalised Killing spinors on Lie groups.
method Complete classification using invariant properties and computational methods.
result Existence of non-trivial invariant generalised Killing spinors implies all invariant spinors are generalised Killing with the same endomorphism.

The paper extends the classification of bi-invariant 2-forms to infinite-dimensional Lie groups.

problem Classifying bi-invariant 2-forms on infinite-dimensional Lie groups.
method Generalized the classification from compact Lie groups to arbitrary finite-dimensional Lie groups and then to Milnor regular infinite-dimensional Lie groups.
result The classification of bi-invariant 2-forms extends to all Milnor regular infinite-dimensional Lie groups.

The strong symmetric genus of a finite group is the minimum genus of a compact Riemann surface on which the group acts as a group of automorphisms preserving orientation. A characterization of the infinite number of groups with strong symmetric genus zero and one is well-known and the problem is finite for each strong …

2011-03-25abs ↗pdf ↗

The paper classifies para-Kähler structures on Lie groups.

problem Classifying para-Kähler structures on Lie groups.
method Classification based on symplectic Lie algebras, finding compatible para-complex structures and pseudo-Riemannian metrics.
result Explicit forms of para-complex structures and pseudo-Riemannian metrics are found.

Study cyclic group actions on specific high-dimensional manifolds.

problem Classify smooth actions of cyclic groups on certain high-dimensional manifolds.
method Analyzes smooth orientation-preserving actions of Z/m\mathbb Z/m on (n1)(n-1)-connected 2n2n-manifolds.
result Classifications up to smooth conjugation for specific cases of nn and mm.

The paper classifies 4-manifolds based on their fundamental groups and orientation characters.

problem Classifying 4-manifolds with specific fundamental groups and orientation characters.
method Developed a criterion for groups and homomorphisms to classify 4-manifolds up to homotopy equivalence.
result Closed 4-manifolds with specified fundamental groups and orientation characters are classified by their quadratic 2-types.

This (quasi-)survey addresses the quasi-isometry classification of locally compact groups, with an emphasis on amenable hyperbolic locally compact groups. This encompasses the problem of quasi-isometry classification of homogeneous negatively curved manifolds. A main conjecture provides a general description; an extend…

2012-12-10abs ↗pdf ↗

Algorithm improves binary classification of biased grouped data.

problem Improving binary classification for biased, grouped data.
method Assumes partition-projected class-conditional invariance across groups and derives a semi-supervised algorithm to learn a group-aware classifier.
result Demonstrates improved area under the ROC curve compared to baselines.

We give the complete classification of left-invariant sub-Riemannian structures on three dimensional Lie groups in terms of the basic differential invariants. This classifications recovers other known classification results in the literature, in particular the one obtained in [Falbel-Gorodski, 1996] in terms of curvatu…

2010-07-28abs ↗pdf ↗

In text classification, the problem of overfitting arises due to the high dimensionality, making regularization essential. Although classic regularizers provide sparsity, they fail to return highly accurate models. On the contrary, state-of-the-art group-lasso regularizers provide better results at the expense of low s…

2018-07-12abs ↗pdf ↗

Transformers can learn optimal variable selection in group-sparse classification.

problem Understanding how transformers leverage attention to select relevant variables in group-sparse classification.
method Training a one-layer transformer using gradient descent to select variables from one group of input variables.
result A one-layer transformer can correctly leverage the attention mechanism to select variables, disregarding irrelevant ones.