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We give an elementary description of $2$-categories $\mathbf{Cat}\left(\mathcal{E}\right)$ of internal categories, functors and natural transformations, where $\mathcal{E}$ is a category modelling Lawvere's elementary theory of the category…

Category Theory · Mathematics 2025-03-26 Calum Hughes , Adrian Miranda

Classification theory of elementary classes deals with first order (elementary) classes of structures (i.e. fixing a set T of first order sentences, we investigate the class of models of T with the elementary submodel notion). It tries to…

Logic · Mathematics 2009-03-23 Saharon Shelah

An elementary construction of the Wiener process is discussed, based on a proper sequence of simple symmetric random walks that uniformly converge on bounded intervals, with probability 1. This method is a simplification of F.B. Knight's…

Probability · Mathematics 2010-08-10 Tamas Szabados

In this work we present some general categorial ideas on Abstract Elementary Classes (AECs) %\cite{She}, inspired by the totality of AECs of the form $(Mod(T), \preceq)$, for a first-order theory T: (i) we define a natural notion of…

Logic · Mathematics 2014-05-20 Hugo Luiz Mariano , Andrés Villaveces , Pedro Hernan Zambrano

We present local ensembles, a method for detecting underspecification -- when many possible predictors are consistent with the training data and model class -- at test time in a pre-trained model. Our method uses local second-order…

Machine Learning · Computer Science 2021-12-09 David Madras , James Atwood , Alex D'Amour

We prove that every categorical model of dependent type theory with dependent sums and products, intensional identity types and univalent universes presents via its $\infty$-localisation an elementary $\infty$-topos, that is, a finitely…

Category Theory · Mathematics 2026-04-30 Maximilian Petrowitsch

We systematically develop a theory of stratification in the context of tensor triangular geometry and apply it to classify the localizing tensor-ideals of certain categories of spectral $G$-Mackey functors for all finite groups $G$. Our…

Algebraic Topology · Mathematics 2023-10-02 Tobias Barthel , Drew Heard , Beren Sanders

We present an elementary method for proving enumeration formulas which are polynomials in certain parameters if others are fixed and factorize into distinct linear factors over Z. Roughly speaking the idea is to prove such formulas by…

Combinatorics · Mathematics 2007-05-23 Ilse Fischer

We study the problem of estimating the parameters of a Boolean product distribution in $d$ dimensions, when the samples are truncated by a set $S \subset \{0, 1\}^d$ accessible through a membership oracle. This is the first time that the…

Machine Learning · Computer Science 2026-05-05 Dimitris Fotakis , Alkis Kalavasis , Christos Tzamos

Explicit step-truncation tensor methods have recently proven successful in integrating initial value problems for high-dimensional partial differential equations (PDEs). However, the combination of non-linearity and stiffness may introduce…

Numerical Analysis · Mathematics 2023-03-21 Abram Rodgers , Daniele Venturi

We investigate the theory of finite observables, i.e., resolutions of the finite-dimensional identity by means of positive operators, that have a physical interpretation in terms of measurement schemes. We focus on extremal and rank-one…

Quantum Physics · Physics 2019-07-01 Heinz-Jürgen Schmidt

We show here that the refined theorems for both lecture hall partitions and anti-lecture hall compositions can be obtained as straightforward consequences of two q-Chu Vandermonde identities, once an appropriate recurrence is derived. We…

Combinatorics · Mathematics 2007-05-23 S. Corteel , C. D. Savage

Parametric stochastic simulators are ubiquitous in science, often featuring high-dimensional input parameters and/or an intractable likelihood. Performing Bayesian parameter inference in this context can be challenging. We present a neural…

Machine Learning · Statistics 2021-10-27 Benjamin Kurt Miller , Alex Cole , Patrick Forré , Gilles Louppe , Christoph Weniger

Effective field theories (EFTs) organize the description of complex systems into an infinite sequence of decreasing importance. Predictions are made with a finite number of terms, which induces a truncation error that is often left…

Nuclear Theory · Physics 2019-10-16 J. A. Melendez , R. J. Furnstahl , D. R. Phillips , M. T. Pratola , S. Wesolowski

We propose new iterative methods for computing nontrivial extremal generalized singular values and vectors. The first method is a generalized Davidson-type algorithm and the second method employs a multidirectional subspace expansion…

Numerical Analysis · Mathematics 2017-05-18 Ian N. Zwaan , Michiel E. Hochstenbach

We model the process of human full interpretation of object images, namely the ability to identify and localize all semantic features and parts that are recognized by human observers. The task is approached by dividing the interpretation of…

Computer Vision and Pattern Recognition · Computer Science 2018-02-02 Guy Ben-Yosef , Liav Assif , Shimon Ullman

Let $U$ be a matrix chosen randomly, with respect to Haar measure, from the unitary group $U(d).$ We express the moments of the trace of any submatrix of $U$ as a sum over partitions whose terms count certain standard and semistandard Young…

Combinatorics · Mathematics 2007-05-23 Jonathan Novak

Several recent works suggested the possibility of describing inflation by means of a renormalization group equation. In this paper we discuss the application of these methods to models of quintessence. In this framework a period of…

General Relativity and Quantum Cosmology · Physics 2017-09-08 F. Cicciarella , M. Pieroni

In this paper, motivated by symplectic topology, we explore categorical entropy and present two main results. The first result establishes a relation between categorical entropies of functors on a category and its localization.…

Symplectic Geometry · Mathematics 2023-12-19 Hanwool Bae , Dongwook Choa , Wonbo Jeong , Dogancan Karabas , Sangjin Lee

Partial differential equations (PDEs) with uncertain or random inputs have been considered in many studies of uncertainty quantification. In forward uncertainty quantification, one is interested in analyzing the stochastic response of the…

Numerical Analysis · Mathematics 2023-12-19 Philipp A. Guth , Vesa Kaarnioja