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This article contains a self-contained proof of the stability under convolution of the space of resurgent functions associated with a closed discrete subset of the complex plane (the set of possible singularities), under the assumption that…

Dynamical Systems · Mathematics 2014-06-27 David Sauzin

A popular method for selecting the number of clusters is based on stability arguments: one chooses the number of clusters such that the corresponding clustering results are "most stable". In recent years, a series of papers has analyzed the…

Machine Learning · Statistics 2010-07-08 Ulrike von Luxburg

We introduce a strong notion of quasiconvexity in finitely generated groups, which we call stability. Stability agrees with quasiconvexity in hyperbolic groups and is preserved under quasi-isometry for finitely generated groups. We show…

Geometric Topology · Mathematics 2015-11-25 Matthew Gentry Durham , Samuel J. Taylor

We summarize the main known results involving subword reversing, a method of semigroup theory for constructing van Kampen diagrams by referring to a preferred direction. In good cases, the method provides a powerful tool for investigating…

Group Theory · Mathematics 2009-12-23 Patrick Dehornoy

We explore a natural class of semigroups that have word problem decidable by finite state automata. Among the main results are invariance of this property under change of generators, invariance under basic algebraic constructions and…

Formal Languages and Automata Theory · Computer Science 2019-10-17 Max Neunhöffer , Markus Pfeiffer , Nik Ruskuc

We propose a new way of thinking about one parameter persistence. We believe topological persistence is fundamentally not about decomposition theorems but a central role is played by a choice of metrics. Choosing a pseudometric between…

Algebraic Topology · Mathematics 2020-02-07 Wojciech Chachólski , Henri Riihimäki

The stability of word embedding algorithms, i.e., the consistency of the word representations they reveal when trained repeatedly on the same data set, has recently raised concerns. We here compare word embedding algorithms on three corpora…

Computation and Language · Computer Science 2019-04-09 Johannes Hellrich , Bernd Kampe , Udo Hahn

This paper studies balancedness for infinite words and subshifts, both for letters and factors. Balancedness is a measure of disorder that amounts to strong convergence properties for frequencies. It measures the difference between the…

Discrete Mathematics · Computer Science 2018-10-18 Valérie Berthé , Paulina Cecchi Bernales

Generative (diffusion) priors demonstrate remarkable performance in addressing inverse problems in imaging. Yet, for scientific and medical imaging, it is crucial that reconstruction techniques remain stable and reliable under imperfect…

Image and Video Processing · Electrical Eng. & Systems 2026-05-12 Alexander Denker , Johannes Hertrich , Sebastian Neumayer

For a fixed word hyperbolic group we compare different residual properties related to quasiconvex subgroups.

Group Theory · Mathematics 2007-05-23 Ashot Minasyan

Discrete stability extends the classical notion of stability to random elements in discrete spaces by defining a scaling operation in a randomised way: an integer is transformed into the corresponding binomial distribution. Similarly…

Probability · Mathematics 2011-08-10 Youri Davydov , Ilya Molchanov , Sergei Zuyev

We develop several aspects of local and global stability in continuous first order logic. In particular, we study type-definable groups and genericity.

Logic · Mathematics 2014-02-10 Itaï Ben Yaacov

The notions of stable and Morse subgroups of finitely generated groups generalize the concept of a quasiconvex subgroup of a word-hyperbolic group. For a word-hyperbolic group $G$, Kapovich provided a partial algorithm which, on input a…

Group Theory · Mathematics 2020-04-21 Heejoung Kim

Let A be the category of modules over a complex, finite-dimensional algebra. We show that the space of stability conditions on A parametrises an isomonodromic family of irregular connections on P^1 with values in the Hall algebra of A. The…

Algebraic Geometry · Mathematics 2013-01-10 Tom Bridgeland , Valerio Toledano-Laredo

In this paper we discuss the stability properties of convolutional neural networks. Convolutional neural networks are widely used in machine learning. In classification they are mainly used as feature extractors. Ideally, we expect similar…

Machine Learning · Computer Science 2017-01-20 Radu Balan , Maneesh Singh , Dongmian Zou

Let $w$ be a word in a free group. A few years ago, Magee and the first named author discovered that the stable commutator length (scl) of $w$, a well-known topological invariant, can also be defined in terms of certain Fourier coefficients…

Group Theory · Mathematics 2026-05-08 Doron Puder , Yotam Shomroni , Danielle Ernst-West , Matan Seidel

Stability is a central property in learning and statistics promising the output of an algorithm $A$ does not change substantially when applied to similar datasets $S$ and $S'$. It is an elementary fact that any sufficiently stable algorithm…

Machine Learning · Computer Science 2025-02-13 Max Hopkins , Shay Moran

In this note we give a simple unifying proof of the undecidability of several diagrammatic properties of term rewriting systems that include: local confluence, strong confluence, diamond property, subcommutative property, and the existence…

Logic in Computer Science · Computer Science 2019-10-22 António Malheiro , Paulo Guilherme Santos

Recently, sub-indices and sub-factors of groups with connections to number theory, additive combinatorics, and factorization of groups have been introduced and studied. Since all group subsets are considered in the theory and there are many…

Group Theory · Mathematics 2023-10-06 M. H. Hooshmand , M. M. Yousefian Arani

Stability is a fundamental property of dynamical systems, yet to this date it has had little bearing on the practice of recurrent neural networks. In this work, we conduct a thorough investigation of stable recurrent models. Theoretically,…

Machine Learning · Computer Science 2019-03-05 John Miller , Moritz Hardt