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Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-constrained devices, requiring practitioners to compress…

Computation and Language · Computer Science 2023-02-09 Mohammadreza Banaei , Klaudia Bałazy , Artur Kasymov , Rémi Lebret , Jacek Tabor , Karl Aberer

Cyber-physical systems are inherently complex due to their connection between software and the physical world. Iterative design reduces their complexity, but increases the need to repeatedly recheck their safety in full after every change.…

Logic in Computer Science · Computer Science 2026-05-15 Enguerrand Prebet , André Platzer

For any given finite abelian group, we give factorizations of the group determinant in the group algebra of any subgroup. The factorizations are an extension of Dedekind's theorem. The extension leads to a generalization of Dedekind's…

Representation Theory · Mathematics 2023-03-03 Naoya Yamaguchi

We consider the following inference problem: Given a set of edge-flow signals observed on a graph, lift the graph to a cell complex, such that the observed edge-flow signals can be represented as a sparse combination of gradient and curl…

Social and Information Networks · Computer Science 2025-12-15 Til Spreuer , Josef Hoppe , Michael T. Schaub

In 1991 H\'ebrard introduced a factorization of words that turned out to be a powerful tool for the investigation of a word's scattered factors (also known as (scattered) subwords or subsequences). Based on this, first Karandikar and…

Combinatorics · Mathematics 2023-09-12 Pamela Fleischmann , Jonas Höfer , Annika Huch , Dirk Nowotka

A general theorem on factorization of matrices with polynomial entries is proven and it is used to reduce polynomial Darboux matrices to linear ones. Some new examples of linear Darboux matrices are discussed.

Exactly Solvable and Integrable Systems · Physics 2009-11-11 F. Musso , A. Shabat

The low-rank matrix factorization as a L1 norm minimization problem has recently attracted much attention due to its intrinsic robustness to the presence of outliers and missing data. In this paper, we propose a new method, called the…

Numerical Analysis · Computer Science 2012-04-26 Deyu Meng , Zongben Xu

Narrowing is a procedure that was first studied in the context of equational E-unification and that has been used in a wide range of applications. The classic completeness result due to Hullot states that any term rewriting derivation…

Programming Languages · Computer Science 2019-08-15 Adrián Riesco , Juan Rodríguez-Hortalá

In reductive proof search, proofs are naturally generalized by solutions, comprising all possibly infinite structures generated by locally correct, bottom-up application of inference rules. We propose an extension of the Curry-Howard…

Logic in Computer Science · Computer Science 2021-07-30 José Espírito Santo , Ralph Matthes , Luís Pinto

For the lambda-calculus with surjective pairing and terminal type, Curien and Di Cosmo were inspired by Knuth-Bendix completion, and introduced a confluent rewriting system that (1) extends the naive rewriting system, and (2) is stable…

Logic in Computer Science · Computer Science 2018-05-08 Yohji Akama

Matrix factorization techniques compute low-rank product approximations of high dimensional data matrices and as a result, are often employed in recommender systems and collaborative filtering applications. However, many algorithms for this…

Numerical Analysis · Mathematics 2020-10-22 Edwin Chau , Jamie Haddock

Higher-order representations of objects such as programs, proofs, formulas and types have become important to many symbolic computation tasks. Systems that support such representations usually depend on the implementation of an intensional…

Programming Languages · Computer Science 2007-05-23 Xiaochu Qi

In deduction modulo, a theory is not represented by a set of axioms but by a congruence on propositions modulo which the inference rules of standard deductive systems---such as for instance natural deduction---are applied. Therefore, the…

Logic in Computer Science · Computer Science 2019-03-14 Guillaume Burel

As highlighted in a series of recent papers by Tringali and the author, fundamental aspects of the classical theory of factorization can be significantly generalized by blending the languages of monoids and preorders. Specifically, the…

Rings and Algebras · Mathematics 2024-01-12 Laura Cossu

In this paper, we introduce and formalize a rank-one partitioning learning paradigm that unifies partitioning methods that proceed by summarizing a data set using a single vector that is further used to derive the final clustering…

Machine Learning · Computer Science 2020-09-02 Charlotte Laclau , Franck Iutzeler , Ievgen Redko

We present a matrix-factorization algorithm that scales to input matrices with both huge number of rows and columns. Learned factors may be sparse or dense and/or non-negative, which makes our algorithm suitable for dictionary learning,…

Machine Learning · Statistics 2017-11-15 Arthur Mensch , Julien Mairal , Bertrand Thirion , Gael Varoquaux

This paper presents the Functional Machine Calculus (FMC) as a simple model of higher-order computation with "reader/writer" effects: higher-order mutable store, input/output, and probabilistic and non-deterministic computation. The FMC…

Programming Languages · Computer Science 2023-06-22 Willem Heijltjes

The aim of this note is to survey the factorizations of the Fibonacci infinite word that make use of the Fibonacci words and other related words, and to show that all these factorizations can be easily derived in sequence starting from…

Formal Languages and Automata Theory · Computer Science 2015-08-28 Gabriele Fici

I explain a direct approach to differentiation and integration. Instead of relying on the general notions of real numbers, limits and continuity, we treat functions as the primary objects of our theory, and view differentiation as division…

History and Overview · Mathematics 2009-05-25 Michael Livshits

We consider the problem of learning a low-rank matrix, constrained to lie in a linear subspace, and introduce a novel factorization for modeling such matrices. A salient feature of the proposed factorization scheme is it decouples the…

Machine Learning · Statistics 2018-06-18 Pratik Jawanpuria , Bamdev Mishra