English
Related papers

Related papers: The submodularity of the covolume function in glob…

200 papers

The universal property for the B\'enabou bicategory of distributors (although we call them "modules") presented here is somewhat implicitly spread over a series of papers and yet, to my knowledge, does not appear in print. The inclusion of…

Category Theory · Mathematics 2026-03-06 Ross Street

Moduli spaces of global $\mathbb G$-shtukas play a crucial role in the Langlands program for function fields. We analyze their functoriality properties following a change of the curve and a change of the group scheme $\mathbb G$ under…

Algebraic Geometry · Mathematics 2019-02-28 Paul Breutmann

We show that if $(u,K)$ is a global minimizer for the Mumford-Shah functional in $R^N$, and if K is a smooth enough cone, then (modulo constants) u is a homogenous function of degree 1/2. We deduce some applications in $R^3$ as for instance…

Analysis of PDEs · Mathematics 2008-09-25 Antoine Lemenant

The scalability of submodular optimization methods is critical for their usability in practice. In this paper, we study the reducibility of submodular functions, a property that enables us to reduce the solution space of submodular…

Machine Learning · Computer Science 2016-01-05 Jincheng Mei , Hao Zhang , Bao-Liang Lu

We prove the following conjecture of Margulis. Let $G$ be a higher rank simple Lie group and let $\Lambda\le G$ be a discrete subgroup of infinite covolume. Then, the locally symmetric space $\Lambda\backslash G/K$ admits injected balls of…

Group Theory · Mathematics 2024-04-19 Mikolaj Fraczyk , Tsachik Gelander

A super-modular category is a unitary pre-modular category with M\"uger center equivalent to the symmetric unitary category of super-vector spaces. Super-modular categories are important alternatives to modular categories as any unitary…

Quantum Algebra · Mathematics 2018-07-25 Parsa Bonderson , Eric C. Rowell , Qing Zhang , Zhenghan Wang

Functionals (i.e. functions of functions) are widely used in quantum field theory and solid-state physics. In this paper, functionals are given a rigorous mathematical framework and their main properties are described. The choice of the…

Mathematical Physics · Physics 2018-03-14 Christian Brouder , Nguyen Viet Dang , Camille Laurent-Gengoux , Kasia Rejzner

This note offers an unusual approach of studying a class of modules inasmuch as it is investigating a subclass of the category of modules over a valuation domain. This class is far from being a full subcategory, it is not even a category.…

Commutative Algebra · Mathematics 2023-02-01 Peter Danchev , Laszlo Fuchs

The concept of the moduli space allows for a simple, universally applicable description of the low-energy dynamics of topological solitons. This description is remarkably insensitive to the properties of the underlying theory, whose details…

High Energy Physics - Theory · Physics 2020-06-01 Thomas Steingasser

Submodular functions are a special class of set functions which naturally model the notion of representativeness, diversity, coverage etc. and have been shown to be computationally very efficient. A lot of past work has applied submodular…

Machine Learning · Computer Science 2022-02-24 Vishal Kaushal , Ganesh Ramakrishnan , Rishabh Iyer

Over a global field (number field or function field of a curve over a finite field), theorems for the Galois cohomology of algebraic groups have long been known. For $F$ the function field of a curve over the formal series field…

Number Theory · Mathematics 2023-12-12 Dylon Chow

We develop a framework for the distributed minimization of submodular functions. Submodular functions are a discrete analog of convex functions and are extensively used in large-scale combinatorial optimization problems. While there has…

Optimization and Control · Mathematics 2018-01-23 Hassan Jaleel , Jeff Shamma

Seminal work by Edmonds and Lovasz shows the strong connection between submodularity and convexity. Submodular functions have tight modular lower bounds, and subdifferentials in a manner akin to convex functions. They also admit poly-time…

Discrete Mathematics · Computer Science 2015-09-09 Rishabh Iyer , Jeff Bilmes

A real-valued set function is (additively) approximately submodular if it satisfies the submodularity conditions with an additive error. Approximate submodularity arises in many settings, especially in machine learning, where the function…

Data Structures and Algorithms · Computer Science 2020-10-08 Flavio Chierichetti , Anirban Dasgupta , Ravi Kumar

This paper is a fundamental study of comodules and contramodules over a comonoid in a symmetric closed monoidal category. We study both algebraic and homotopical aspects of them. Algebraically, we enrich the comodule and contramodule…

Category Theory · Mathematics 2023-03-21 Katerina Hristova , John Jones , Dmitriy Rumynin

This paper studies the M\"obius function and related questions about the finiteness of the poset of submodules of semisimple and general modules. We show how to calculate the M\"obius function for semisimple modules based on endomorphism…

Rings and Algebras · Mathematics 2024-12-16 Dominik Krasula

We use algebraic techniques to study homological filling functions of groups and their subgroups. If $G$ is a group admitting a finite $(n+1)$--dimensional $K(G,1)$ and $H \leq G$ is of type $F_{n+1}$, then the $n^{th}$--homological filling…

Group Theory · Mathematics 2015-08-21 Richard Gaelan Hanlon , Eduardo Martinez-Pedroza

Clustering with submodular functions has been of interest over the last few years. Symmetric submodular functions are of particular interest as minimizing them is significantly more efficient and they include many commonly used functions in…

Data Structures and Algorithms · Computer Science 2014-11-21 Amit Dhurandhar , Karthik Gurumoorthy

We introduce generalized Frobenius-Schur indicators for pivotal categories. In a spherical fusion category C, an equivariant indicator of an object in C is defined as a functional on the Grothendieck algebra of the quantum double Z(C) via…

Quantum Algebra · Mathematics 2012-02-07 Siu-Hung Ng , Peter Schauenburg

Submodular functions describe a variety of discrete problems in machine learning, signal processing, and computer vision. However, minimizing submodular functions poses a number of algorithmic challenges. Recent work introduced an…

Optimization and Control · Mathematics 2014-11-06 Robert Nishihara , Stefanie Jegelka , Michael I. Jordan