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This paper introduces a new term rewriting system that is similar to the embedded read-back mechanism for interaction nets presented in our previous work, but is easier to follow than in the original setting and thus to analyze its…

Logic in Computer Science · Computer Science 2018-08-21 Anton Salikhmetov

We revisit once again the connection between three notions of computation: monads, arrows and idioms (also called applicative functors). We employ monoidal categories of finitary functors and profunctors on finite sets as models of these…

Programming Languages · Computer Science 2018-07-12 Exequiel Rivas

Rough sets are efficient for data pre-processing in data mining. As a generalization of the linear independence in vector spaces, matroids provide well-established platforms for greedy algorithms. In this paper, we apply rough sets to…

Artificial Intelligence · Computer Science 2012-09-26 Jingqian Wang , William Zhu

Recently V.I.Arnold have formulated a geometrical concept of monads and apply it to the study of difference operators on the sets of $\{0,1\}$-valued sequences of length $n$. In the present note we show particular examples of these monads…

Combinatorics · Mathematics 2007-11-12 Oleg Karpenkov

In this article we describe properties of the 2-functor from the 2-category of comonads to the 2-category of functors that sends a comonad to its forgetful functor. This allows us to describe contexts where algebras over a monad are…

Category Theory · Mathematics 2022-05-04 Brice Le Grignou

The truncation operation facilitates the articulation and analysis of several aspects of the structure of archimedean vector lattices; we investigate two such aspects in this article. We refer to archimedean vector lattices equipped with a…

Functional Analysis · Mathematics 2019-06-04 Richard N. Ball

Although unification can be used to implement a weak form of $\beta$-reduction, several linguistic phenomena are better handled by using some form of $\lambda$-calculus. In this paper we present a higher order feature description calculus…

cmp-lg · Computer Science 2008-02-03 Luis Damas , Nelma Moreira

We look at the proofs of a fragment of Linear Logic as a whole: in fact, Linear Logic's coherent semantics interprets the proofs of a given formula $A$ as faces of an abstract simplicial complex, thus allowing us to see the set of the…

Logic in Computer Science · Computer Science 2024-09-19 Davide Barbarossa

Modular graph forms are a class of modular covariant functions which appear in the genus-one contribution to the low-energy expansion of closed string scattering amplitudes. Modular graph forms with holomorphic subgraphs enjoy the…

High Energy Physics - Theory · Physics 2019-02-20 Jan E. Gerken , Justin Kaidi

Graph coarsening aims to diminish the size of a graph to lighten its memory footprint, and has numerous applications in graph signal processing and machine learning. It is usually defined using a reduction matrix and a lifting matrix,…

Machine Learning · Computer Science 2026-01-29 Antonin Joly , Nicolas Keriven , Aline Roumy

State monads in cartesian closed categories are those defined by the familiar adjunction between product and exponential. We investigate the structure of their algebras, and show that the exponential functor is monadic provided the base…

Category Theory · Mathematics 2007-05-23 Francois Metayer

It is well-known that every regular language admits a unique minimal deterministic acceptor. Establishing an analogous result for non-deterministic acceptors is significantly more difficult, but nonetheless of great practical importance. To…

Formal Languages and Automata Theory · Computer Science 2023-06-16 Stefan Zetzsche , Alexandra Silva , Matteo Sammartino

Model order reduction is the approximation of dynamical systems into equivalent systems with smaller order. Model reduction has been studied extensively for different types of systems. In this paper, we present two methods for multi input…

Systems and Control · Electrical Eng. & Systems 2019-07-04 Karim Cherifi , Kamel Hariche

A topic model is often formulated as a generative model that explains how each word of a document is generated given a set of topics and document-specific topic proportions. It is focused on capturing the word co-occurrences in a document…

Machine Learning · Computer Science 2022-03-16 Dongsheng Wang , Dandan Guo , He Zhao , Huangjie Zheng , Korawat Tanwisuth , Bo Chen , Mingyuan Zhou

The termination method of weakly monotonic algebras, which has been defined for higher-order rewriting in the HRS formalism, offers a lot of power, but has seen little use in recent years. We adapt and extend this method to the alternative…

Logic in Computer Science · Computer Science 2012-03-27 Carsten Fuhs , Cynthia Kop

Differential categories provide the categorical foundations for the algebraic approaches to differentiation. They have been successful in formalizing various important concepts related to differentiation, such as, in particular,…

Category Theory · Mathematics 2026-02-19 Jean-Simon Pacaud Lemay , Chiara Sava

Let $\Lambda^{\ast}$ be the free monoid of (finite) words over a not necessarily finite alphabet $\Lambda$, which is equipped with some (partial) order. This ordering lifts to $\Lambda^{\ast}$, where it extends the divisibility ordering of…

Combinatorics · Mathematics 2018-05-08 Hans-Jürgen Bandelt , Maurice Pouzet

Dimensionality reduction represents the process of generating a low dimensional representation of high dimensional data. Motivated by the formation control of mobile agents, we propose a nonlinear dynamical system for dimensionality…

Machine Learning · Computer Science 2025-01-17 Taeuk Jeong , Yoon Mo Jung , Euntack Lee

Quantitative algebras are $\Sigma$-algebras acting on metric spaces, where operations are nonexpanding. Mardare, Panangaden and Plotkin introduced 1-basic varieties as categories of quantitative algebras presented by quantitative equations.…

Category Theory · Mathematics 2026-02-06 J. Adámek , M. Dostál , J. Velebil

The 'signature method' refers to a collection of feature extraction techniques for multivariate time series, derived from the theory of controlled differential equations. There is a great deal of flexibility as to how this method can be…

Machine Learning · Computer Science 2021-02-09 James Morrill , Adeline Fermanian , Patrick Kidger , Terry Lyons
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