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Finite frame theory has become a powerful tool for many applications of mathematics. In this paper we introduce a new area of research in frame theory: Integer frames. These are frames having all integer coordinates with respect to a fixed…

Functional Analysis · Mathematics 2015-10-26 Peter G. Casazza , Richard G. Lynch , Janet C. Tremain , Lindsey M. Woodland

We present alternative postulates for Euclidean geometry whose merit is that they lead to a new class of invariants and associated geometries for real finite-dimensional unital associative algebras.

Rings and Algebras · Mathematics 2025-09-11 Fred Greensite

Differential forms is a highly geometric formalism for physics used from field theories to General Relativity (GR) which has been a great upgrade over vector calculus with the advantages of being coordinate-free and carrying a high degree…

General Relativity and Quantum Cosmology · Physics 2024-07-26 Pablo Bañón Pérez , Maarten DeKieviet

In representations using frames, oblique duality appears in situations where the analysis and the synthesis has to be done in different subspaces. In some cases, we cannot obtain an explicit expression for the oblique duals and in others…

Functional Analysis · Mathematics 2023-05-01 Jorge P. Díaz , Sigrid B. Heineken , Patricia M. Morillas

We study and classify $SU(5)$-GUT completions of accidental composite dark matter models. These theories postulate new vectorlike confining dark color dynamics and give an accidentally stable baryonic dark matter candidate. In realistic…

High Energy Physics - Phenomenology · Physics 2024-07-31 Salvatore Bottaro , Roberto Contino , Sonali Verma

The collection of $d \times N$ complex matrices with prescribed column norms and prescribed (nonzero) singular values forms a compact algebraic variety, which we refer to as a frame space. Elements of frame spaces -- i.e., frames -- are…

Functional Analysis · Mathematics 2022-08-25 Tom Needham , Clayton Shonkwiler

One of the biggest challenges in the research of generative adversarial networks (GANs) is assessing the quality of generated samples and detecting various levels of mode collapse. In this work, we construct a novel measure of performance…

Machine Learning · Computer Science 2018-06-12 Valentin Khrulkov , Ivan Oseledets

This paper is mainly motivated by the analysis of the so-called Bounded Generation property (BG) of linear groups (in characteristic $0$), which is known to admit far-reaching group-theoretic implications. We achieve complete answers to…

Number Theory · Mathematics 2023-09-26 Pietro Corvaja , Julian Demeio , Andrei Rapinchuk , Jinbo Ren , Umberto Zannier

We develop a general approach to finding combinatorial models for cluster algebras. The approach is to construct a labeled graph called a framework. When a framework is constructed with certain properties, the result is a model…

Combinatorics · Mathematics 2026-05-28 Nathan Reading , David E Speyer

Scalable frames are frames with the property that the frame vectors can be rescaled resulting in tight frames. However, if a frame is not scalable, one has to aim for an approximate procedure. For this, in this paper we introduce three…

Functional Analysis · Mathematics 2014-06-10 Xuemei Chen , Gitta Kutyniok , Kasso A. Okoudjou , Friedrich Philipp , Rongrong Wang

For a complex quasi-projective manifold with a finite group action, we define higher order generalized Euler characteristics with values in the Grothendieck ring of complex quasi-projective varieties extended by the rational powers of the…

Algebraic Geometry · Mathematics 2013-03-25 S. M. Gusein-Zade , I. Luengo , A. Melle-Hernández

The task of generating natural images from 3D scenes has been a long standing goal in computer graphics. On the other hand, recent developments in deep neural networks allow for trainable models that can produce natural-looking images with…

Computer Vision and Pattern Recognition · Computer Science 2018-12-04 Hassan Abu Alhaija , Siva Karthik Mustikovela , Andreas Geiger , Carsten Rother

Score-based generative models (SGMs) is a recent class of deep generative models with state-of-the-art performance in many applications. In this paper, we establish convergence guarantees for a general class of SGMs in 2-Wasserstein…

Machine Learning · Computer Science 2025-02-18 Xuefeng Gao , Hoang M. Nguyen , Lingjiong Zhu

Gauge-Yukawa Unification (GYU) is obtained in GUTs by searching for renormalization group invariant relations among gauge and Yukawa couplings beyond the unification scale. Of particular interest are two supersymmetric GUTs, the finite and…

High Energy Physics - Phenomenology · Physics 2007-05-23 J. Kubo , M. Mondragon , G. Zoupanos

This work proposes a novel metric based algorithm for quadrilateral mesh generating. Each quad-mesh induces a Riemannian metric satisfying special conditions: the metric is a flat metric with cone signualrites conformal to the original…

Computational Geometry · Computer Science 2018-12-03 Wei Chen , Xiaopeng Zheng , Jingyao Ke , Na Lei , Zhongxuan Luo , Xianfeng Gu

Multi-view frame reconstruction is an important problem particularly when multiple frames are missing and past and future frames within the camera are far apart from the missing ones. Realistic coherent frames can still be reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Tahmida Mahmud , Mohammad Billah , Amit K. Roy-Chowdhury

Although recent complex scene conditional generation models generate increasingly appealing scenes, it is very hard to assess which models perform better and why. This is often due to models being trained to fit different data splits, and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Arantxa Casanova , Michal Drozdzal , Adriana Romero-Soriano

A Grassmannian frame is a collection of unit vectors which are optimally incoherent. To date, the vast majority of explicit Grassmannian frames are equiangular tight frames (ETFs). This paper surveys every known construction of ETFs and…

Functional Analysis · Mathematics 2016-06-17 Matthew Fickus , Dustin G. Mixon

Several Riemannian metrics and families of Riemannian metrics were defined on the manifold of Symmetric Positive Definite (SPD) matrices. Firstly, we formalize a common general process to define families of metrics: the principle of…

Differential Geometry · Mathematics 2021-11-05 Yann Thanwerdas , Xavier Pennec

It is shown that using non-abelian horizontal gauge symmetry and anomalous U(1)_A symmetry in grand unified theories (GUTs), realistic quark and lepton mass matrices including large neutrino mixings can be obtained, while the differences…

High Energy Physics - Phenomenology · Physics 2009-11-07 Nobuhiro Maekawa