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Simulation has become an essential component of designing and developing scientific experiments. The conventional procedural approach to coding simulations of complex experiments is often error-prone, hard to interpret, and inflexible,…

Computational Physics · Physics 2023-08-09 Peter Sun , John A. Marohn

A major determinant of the quality of software systems is the quality of their requirements, which should be both understandable and precise. Most requirements are written in natural language, good for understandability but lacking in…

Software Engineering · Computer Science 2020-04-17 Jean-Michel Bruel , Sophie Ebersold , Florian Galinier , Alexandr Naumchev , Manuel Mazzara , Bertrand Meyer

Pattern recognition with concise and flat AND-rules makes the Tsetlin Machine (TM) both interpretable and efficient, while the power of Tsetlin automata enables accuracy comparable to deep learning on an increasing number of datasets. We…

We introduce the FRactional-Order graph Neural Dynamical network (FROND), a new continuous graph neural network (GNN) framework. Unlike traditional continuous GNNs that rely on integer-order differential equations, FROND employs the Caputo…

Machine Learning · Computer Science 2024-04-29 Qiyu Kang , Kai Zhao , Qinxu Ding , Feng Ji , Xuhao Li , Wenfei Liang , Yang Song , Wee Peng Tay

The Annotation Graph Toolkit is a collection of software supporting the development of annotation tools based on the annotation graph model. The toolkit includes application programming interfaces for manipulating annotation graph data and…

Computation and Language · Computer Science 2007-05-23 Kazuaki Maeda , Steven Bird , Xiaoyi Ma , Haejoong Lee

FIRE is a program performing reduction of Feynman integrals to master integrals. The C++ version of FIRE was presented in 2014. There have been multiple changes and upgrades since then including the possibility to use multiple computers for…

High Energy Physics - Phenomenology · Physics 2021-02-23 A. V. Smirnov , F. S. Chukharev

Large Language Models (LLMs) have been successful in mathematical reasoning tasks such as formal theorem proving when integrated with interactive proof assistants like Lean. Existing approaches involve training or fine-tuning an LLM on a…

Machine Learning · Computer Science 2025-03-07 Adarsh Kumarappan , Mo Tiwari , Peiyang Song , Robert Joseph George , Chaowei Xiao , Anima Anandkumar

We present the Mathematical Functions Grimoire (FunGrim), a website and database of formulas and theorems for special functions. We also discuss the symbolic computation library used as the backend and main development tool for FunGrim, and…

Mathematical Software · Computer Science 2020-03-16 Fredrik Johansson

We develop a generating-function formulation for the symbolic reduction of multi-loop Feynman integrals. In this framework, integration-by-parts identities are rewritten as differential equations for sector-wise generating functions, so the…

High Energy Physics - Phenomenology · Physics 2026-05-12 Bo Feng , Xiang Li , Yuanche Liu , Yanqing Ma , Yang Zhang

Procedural material graphs are a compact, parameteric, and resolution-independent representation that are a popular choice for material authoring. However, designing procedural materials requires significant expertise and publicly…

Graphics · Computer Science 2022-08-16 Paul Guerrero , Miloš Hašan , Kalyan Sunkavalli , Radomír Měch , Tamy Boubekeur , Niloy J. Mitra

Recent development of deep neural networks (DNNs) for tabular learning has largely benefited from the capability of DNNs for automatic feature interaction. However, the heterogeneity nature of tabular features makes such features relatively…

Machine Learning · Computer Science 2023-03-07 Jiahuan Yan , Jintai Chen , Yixuan Wu , Danny Z. Chen , Jian Wu

We intimate deeper connections between the Riemann zeta and gamma functions than often reported and further derive a new formula for expressing the value of $\zeta(2n+1)$ in terms of zeta at other fractional points. This paper also…

General Mathematics · Mathematics 2014-11-13 Michael A. Idowu

Non-deterministic Finite Automata (NFA) represent regular languages concisely, increasing their appeal for applications such as word recognition. This paper proposes a new approach to generate NFA from an interaction language such as UML…

Formal Languages and Automata Theory · Computer Science 2023-08-04 Erwan Mahe , Boutheina Bannour , Christophe Gaston , Arnault Lapitre , Pascale Le Gall

The emergence of Large Language Models (LLMs) has opened new opportunities to automate software engineering activities that traditionally require substantial manual effort. Among these, class diagram generation represents a critical yet…

Software Engineering · Computer Science 2026-03-11 Jackson Nguyen , Rui En Koe , Fanyu Wang , Chetan Arora , Alessio Ferrari

This paper introduces GLINTS, a graphical tool for exploring variant narrowing computations in Maude. The most recent version of Maude, version 2.7.1, provides quite sophisticated unification features, including order-sorted equational…

Logic in Computer Science · Computer Science 2017-07-19 María Alpuente , Angel Cuenca-Ortega , Santiago Escobar , Julia Sapiña

A general explicit form for generating functions for approximating fractional derivatives is derived. To achieve this, an equivalent characterisation for consistency and order of approximations established on a general generating function…

Numerical Analysis · Mathematics 2021-05-31 W. A. Gunarathna , H. M. Nasir , W. B. Daundasekera

Large language models (LLMs) are largely motivated by their performance on popular topics and benchmarks at the time of their release. However, over time, contamination occurs due to significant exposure of benchmark data during training.…

Computation and Language · Computer Science 2026-03-20 Ja Young Lee , Mírian Silva , Mohamed Nasr , Shonda Witherspoon , Enzo Bozzani , Veronique Demers , Radha Ratnaparkhi , Hui Wu , Sara Rosenthal

The draft paper defines a system, which is capable of maintaining bases of test cases for logical specifications. The specifications, which are subject to this system are transformed from their original shape in first-order logic to…

Software Engineering · Computer Science 2010-02-04 Andreas Faatz , Andreas Zinnen

We extend the (continuous) multivariate Almkvist-Zeilberger algorithm in order to apply it for instance to special Feynman integrals emerging in renormalizable Quantum field Theories. We will consider multidimensional integrals over…

Symbolic Computation · Computer Science 2021-01-28 Jakob Ablinger

A new release of the Monte Carlo program Herwig++ (version 2.5) is now available. This version comes with a number of improvements including: new next-to-leading order matrix elements, including weak boson pair production; a colour…

High Energy Physics - Phenomenology · Physics 2011-02-09 S. Gieseke , D. Grellscheid , K. Hamilton , A. Papaefstathiou , S. Plätzer , P. Richardson , C. A. Röhr , P. Ruzicka , A. Siódmok , L. Suter , D. Winn
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