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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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117235352469 · Jun 202019922001200920172026
48 results for class normalization

The study finds abundant normal generators for mapping class groups.

problem Understanding normal generation in mapping class groups.
method Analyzing restrictions on invariant subsurfaces and Teichmüller spaces.
result Reducible mapping classes can normally generate mapping class groups based on their asymptotic translation lengths.

The study explores normal generators for mapping class groups and their properties.

problem Understanding normal generators for mapping class groups of surfaces.
method Examined the relation between normal generation and asymptotic translation lengths on Teichmüller space and curve graph.
result Discussed several open questions related to normal generators.

We provide a simple criterion for an element of the mapping class group of a closed surface to have normal closure equal to the whole mapping class group. We apply this to show that every nontrivial periodic mapping class that is not a hyperelliptic involution is a normal generator for the mapping class group when the …

2018-05-09abs ↗pdf ↗

The study classifies normal subgroups of mapping class groups of surfaces with Cantor subsets.

problem Understanding the structure of normal subgroups in mapping class groups of surfaces with specific subsets.
method Proves two structure theorems: purity and inertia, characterizing normal subgroups.
result Characterizes finite-type normal subgroups of mapping class groups of surfaces with Cantor subsets.

Class Normalization improves zero-shot learning models.

problem Improving zero-shot learning models in a continual setting.
method Class Normalization (CN) technique to address irregular loss surfaces and improve training efficiency.
result CN significantly outperforms state-of-the-art models on 4 standard ZSL datasets.

Topological normal generation proved for mapping class groups of certain surfaces.

problem Proving topological normal generation for mapping class groups of surfaces.
method Analyzing the end space of surfaces and using topological normal closure properties.
result Topological normal generation is equivalent to uniquely self-similar for surfaces with countable end space.

The system of weak normality equations constitutes a part in the complete system of normality equations. Solutions of each of these two systems of equations are associated with some definite classes of Newtonian dynamical systems in Riemannian manifolds. In this paper for the case of simplest flat Riemannian manifold $…

2000-12-14abs ↗pdf ↗

The paper studies liftable mapping class groups of cyclic covers of spheres.

problem Understanding liftable mapping class groups of cyclic covers of spheres.
method Derived finite generating sets, provided algorithms, determined isomorphism classes, derived presentations, and calculated normalizers and centralizers.
result Presentations and isomorphism classes of liftable mapping class groups for various covers.

In this paper we construct a large class of new normal forms for Levi-nondegenerate real hypersurfaces in complex spaces. We adopt a general approach illustrating why these normal forms are natural and which role is played by the celebrated Chern-Moser normal form. The latter appears in our class as the one with the "m…

2009-02-16abs ↗pdf ↗

Paper defines new stability and metrics for complex spaces.

problem Stability and metrics for complex spaces with big cohomology classes.
method Introduces slope stability and Hermitian-Einstein metrics for big cohomology classes.
result Kobayashi Hitchin correspondence and Bogomolov Gieseker inequality proved.

Calculation of the log-normalizer is a major computational obstacle in applications of log-linear models with large output spaces. The problem of fast normalizer computation has therefore attracted significant attention in the theoretical and applied machine learning literature. In this paper, we analyze a recently pro…

2015-06-12abs ↗pdf ↗

The paper studies special surfaces in 4D space forms with specific geometric properties.

problem Investigating biconservative surfaces with flat normal bundles in 4D space forms.
method Analyzing compatibility conditions, prescribing flat connection, and determining specific surface properties.
result Existence and characterization of biconservative Weingarten surfaces with flat normal bundles.

The paper extends logistic regression for unbounded majority classes and derives asymptotic properties.

problem Infinitely imbalanced logistic regression inference.
method Derive a second order expansion for slope parameter under unbounded majority class.
result The second order term converges to a normal distribution with a variance depending only on the minority class's mean.

We define a generalization of Coxeter graphs and an associated Coxeter system and Coxeter mapping class. These can be used to construct periodic Coxeter mapping classes on surfaces with arbitrarily large genus, preserving lots of symmetries. The periodic mapping classes can in turn be used to construct sequences of pse…

2011-10-05abs ↗pdf ↗

We solve the local equivalence problem for second order (smooth or analytic) ordinary differential equations. We do so by presenting a {\em complete convergent normal form} for this class of ODEs. The normal form is optimal in the sense that it is defined up to the automorphism group of the model (flat) ODE y"=0y"=0. For…

2016-11-25abs ↗pdf ↗

Neural collapse occurs in normalized features over a Riemannian manifold.

problem Understanding neural collapse in normalized feature models.
method Simplified multi-class classification task to a nonconvex optimization problem over the Riemannian manifold, analyzing the landscape of critical points.
result The only global minimizers are neural collapse solutions, with all other critical points being strict saddles.

Proposes a novel model-agnostic training procedure for anomaly detection incorporating known anomalies.

problem Challenges of anomaly detection, especially when only a few anomalous samples are available.
method Reformulates one-class classification as a binary classification problem, using pseudo-anomalous samples drawn from a normalizing flow model.
result Demonstrates comparable or superior performance on tasks with variable amounts of known anomalies.

Unified framework for shrinkage, thresholding, and regularization in normal mean estimation and linear regression.

problem Estimation of normal mean in multivariate settings with correlated observations.
method Approximate risk minimization over a functional class of shrinkage-thresholding rules.
result Unified estimator NOMAD for shrinkage, thresholding, and regularization.

The paper studies deformations of Kähler manifolds to normal bundles and restricted volumes of big classes.

problem Deforming Kähler manifolds to normal bundles and understanding the restricted volumes of big classes.
method Generalizes results on the volume of line bundles to compact Kähler manifolds and submanifolds.
result Find Kähler deformations of (X,ω)(X,ω) such that almost all of the mass ends up in the normal bundle.

Let MM be a hyperbolic fibered 3-manifold. We study properties of sequences (Sαn,ψαn)(S_{α_n}, ψ_{α_n}) of fibers and monodromies for primitive integral classes in the fibered cone of MM. The main tool is the asymptotic translation length C(ψαn)\ell_{\mathcal{C}} (ψ_{α_n}) of the pseudo-Anosov monodromy ψαn ψ_{α_n} on the curve …

2019-09-03abs ↗pdf ↗

This paper proposes a novel generic one-class feature learning method based on intra-class splitting. In one-class classification, feature learning is challenging, because only samples of one class are available during training. Hence, state-of-the-art methods require reference multi-class datasets to pretrain feature …

2018-12-20abs ↗pdf ↗

The paper finds formulas for word lengths and conjugacy classes in surface groups.

problem Finding formulas for word lengths and conjugacy classes in surface groups.
method Investigating symmetric presentations and normal forms of conjugacy classes.
result Derives three formulae for word lengths and provides efficient algorithms for conjugacy problems.

In this paper we describe a procedure for refining the given triangulation of a 3-manifold that scales the PL-metric according to a given weight function while creating no new normal surfaces. It is known that an incompressible surface FF in a triangulated 3-manifold MM is isotopic to a normal surface that is of mini…

2008-10-01abs ↗pdf ↗