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Deep learning models have seen significant successes in numerous applications, but their inner workings remain elusive. The purpose of this work is to quantify the learning process of deep neural networks through the lens of a novel…

Machine Learning · Computer Science 2023-05-10 Rayna Andreeva , Katharina Limbeck , Bastian Rieck , Rik Sarkar

In previous work, we introduced a method for modeling a configuration of objects in 2D and 3D images using a mathematical "medial/skeletal linking structure." In this paper, we show how these structures allow us to capture positional…

Computer Vision and Pattern Recognition · Computer Science 2017-06-02 James Damon , Ellen Gasparovic

We provide upper bounds for the cardinality of the value set of a polynomial map in several variables over a finite field. These bounds generalize earlier bounds for univariate polynomials.

Number Theory · Mathematics 2012-10-31 Gary L. Mullen , Daqing Wan , Qiang Wang

"An invariant of metric spaces under bornologous equivalences" gives an invariant and "A coarse invariant" extends the invariant to coarse equivalences. In both papers the invariant is defined for a class of metric spaces called sigma…

General Topology · Mathematics 2024-03-20 Michael DeLyser , Brendon LaBuz , Benjamin Wetsell

Metric mean dimension is a metric-depedent quantity to characterize the topological complexity of systems with infinite topological entropy. In this paper, we investigate metric mean dimension of factor maps. (1) We introduce three types of…

Dynamical Systems · Mathematics 2026-05-19 Rui Yang

In this paper we investigate a problem of approximation of continuous mappings by smooth mappings with nonnegative Jacobian.

Metric Geometry · Mathematics 2010-10-27 Danylo Radchenko

The topological properties of a material depend on its symmetries, parameters, and spatial dimension. Changes in these properties due to parameter and symmetry variations can be understood by computing the corresponding topological…

Mesoscale and Nanoscale Physics · Physics 2025-11-27 Martin Rodriguez-Vega , Terry A. Loring , Alexander Cerjan

This paper describes a novel framework for computing geodesic paths in shape spaces of spherical surfaces under an elastic Riemannian metric. The novelty lies in defining this Riemannian metric directly on the quotient (shape) space, rather…

Differential Geometry · Mathematics 2016-11-17 Alice Barbara Tumpach , Hassen Drira , Mohamed Daoudi , Anuj Srivastava

Among Thurston maps (orientation-preserving, postcritically finite branched coverings of the 2-sphere to itself), those that arise as subdivision maps of a finite subdivision rule form a special family. For such maps, we investigate…

Dynamical Systems · Mathematics 2015-08-04 William J. Floyd , Walter R. Parry , Kevin M. Pilgrim

We explore the notion of sectional number of a group homomorphism, leading to a generalization of the covering number of a group, and present several characterizations when the sectional number is finite, providing estimates for computing…

Group Theory · Mathematics 2025-09-22 Cesar A. Ipanaque Zapata , Joe Palacios

A topological invariant of the geodesic laminations on a modular surface is constructed. The invariant has a continuous part (the tail of a continued fraction) and a combinatorial part (the singularity data). It is shown, that the invariant…

Geometric Topology · Mathematics 2018-11-02 Igor Nikolaev

The main aim of the present paper is to introduce new classes of functions called $ \alpha $ $^m $ continuous maps and $ \alpha $ $^m $ irresolute maps. We obtain some characterizations of these classes and properties are studied.

General Topology · Mathematics 2016-01-15 Milby Mathew , R. Parimelazhagan , S. Jafari

Dimension four provides a peculiarly idiosyncratic setting for the interplay between scalar curvature and differential topology. Here we will explain some of the peculiarities of the four-dimensional realm via a careful discussion of the…

Differential Geometry · Mathematics 2021-12-22 Claude LeBrun

Quantification of the number of variables needed to locally explain complex data is often the first step to better understanding it. Existing techniques from intrinsic dimension estimation leverage statistical models to glean this…

Machine Learning · Computer Science 2023-12-13 Eric Yeats , Cameron Darwin , Frank Liu , Hai Li

Shapes do not define a linear space. This paper explores the linear structure of deformations as a representation of shapes. This transforms shape optimization to a variant of optimal control. The numerical challenges of this point of view…

Optimization and Control · Mathematics 2022-03-15 Stephan Schmidt , Volker H. Schulz

We study the topological dynamics by iterations of a piecewise continuous, non linear and locally contractive map in a real finite dimensional compact ball. We consider those maps satisfying the "separation property": different continuity…

Dynamical Systems · Mathematics 2011-06-22 Eleonora Catsigeras , Ruben Budelli

This paper deals with projective shape analysis, which is a study of finite configurations of points modulo projective transformations. The topic has various applications in machine vision. We introduce a convenient projective shape space,…

Statistics Theory · Mathematics 2007-06-13 Kanti V. Mardia , Vic Patrangenaru

The paper studies the deformation theory of a holomorphic surjective map from a normal compact complex space to a compact Kaehler manifold and describes the component of the space of holomorphic maps, generalizing results in the projective…

Algebraic Geometry · Mathematics 2007-05-23 Jun-Muk Hwang , Thomas Peternell

We describe differential invariants of infinite-dimensional algebras being equivalence algebras of some classes of PDE and study structure of these algebras.

Mathematical Physics · Physics 2009-10-13 Irina Yehorchenko

In this paper we consider dynamical properties of set-valued mappings and their implications on the associated inverse limit space. Specifically, we define the specification property and topological entropy for set-valued functions and…

Dynamical Systems · Mathematics 2015-09-29 Brian Raines , Tim Tennant