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This paper describes a novel Python package, named causalgraph, for modeling and saving causal graphs embedded in knowledge graphs. The package has been designed to provide an interface between causal disciplines such as causal discovery…

Artificial Intelligence · Computer Science 2023-01-23 Sven Pieper , Carl Willy Mehling , Dominik Hirsch , Tobias Lüke , Steffen Ihlenfeldt

Prefix adders are fundamental arithmetic circuits, but their design space grows exponentially with bit-width, posing significant optimization challenges. Previous works face limitations in performance, generalization, and scalability. To…

Hardware Architecture · Computer Science 2025-07-09 Dongsheng Zuo , Jiadong Zhu , Yang Luo , Yuzhe Ma

Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions through text alone. To address this issue, this paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Tao Wang , Lei Jin , Zhihua Wu , Qiaozhi He , Jiaming Chu , Yu Cheng , Junliang Xing , Jian Zhao , Shuicheng Yan , Li Wang

A new powerful method to calculate Feynman diagrams is proposed. It consists in setting up a Taylor series expansion in the external momenta squared (in general multivariable). The Taylor coefficients are obtained from the original diagram…

High Energy Physics - Phenomenology · Physics 2011-08-17 J. Fleischer , O. V. Tarasov

In the wake of the growing popularity of machine learning in particle physics, this work finds a new application of geometric deep learning on Feynman diagrams to make accurate and fast matrix element predictions with the potential to be…

Computational Physics · Physics 2022-11-29 Harrison Mitchell , Alexander Norcliffe , Pietro Liò

Automating the creation of scientific diagrams from academic papers can significantly streamline the development of tutorials, presentations, and posters, thereby saving time and accelerating the process. Current text-to-image models…

Computation and Language · Computer Science 2024-10-17 Ishani Mondal , Zongxia Li , Yufang Hou , Anandhavelu Natarajan , Aparna Garimella , Jordan Boyd-Graber

Stable reduction methods will be important in the evaluation of high-order perturbative diagrams appearing in QCD and mixed QCD-electroweak radiative corrections at the LHC. Differential reduction techniques are useful for relating…

Mathematical Physics · Physics 2015-03-17 S. A. Yost , V. V. Bytev , M. Yu. Kalmykov , B. A. Kniehl , B. F. L. Ward

This work presents an easy-to-use regularizer for GAN training, which helps explicitly link some axes of the latent space to a set of pixels in the synthesized image. Establishing such a connection facilitates a more convenient local…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Jiapeng Zhu , Ceyuan Yang , Yujun Shen , Zifan Shi , Bo Dai , Deli Zhao , Qifeng Chen

This article summarizes new features and enhancements of the first major update of Package-X. Package-X 2.0 can now generate analytic expressions for arbitrarily high rank dimensionally regulated tensor integrals with up to four distinct…

High Energy Physics - Phenomenology · Physics 2017-05-18 Hiren H. Patel

This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package. UniParse as a framework novelly streamlines research prototyping, development and…

Computation and Language · Computer Science 2018-07-12 Daniel Varab , Natalie Schluter

We present an easy-to-use, Python-based framework that allows a researcher to automate their computational simulations. In particular the framework facilitates assembling several long-running computations and producing various plots from…

Other Computer Science · Computer Science 2018-11-30 Prabhu Ramachandran

This manual describes a set of utilities developed for Lattice QCD computations. They are collectively called QCDUtils. They comprise a set of Python programs each of them with a specific function: download gauge ensembles from the public…

High Energy Physics - Lattice · Physics 2012-02-23 Massimo Di Pierro

Diagrams often appear as node-link representations in many contexts, such as taxonomies, mind maps and networks in textbooks. Despite their pervasiveness, they present significant accessibility challenges for blind and low-vision people. To…

Human-Computer Interaction · Computer Science 2024-05-08 Yichun Zhao , Miguel A. Nacenta , Mahadeo A. Sukhai , Sowmya Somanath

An algorithm for obtaining the Taylor coefficients of an expansion of Feynman diagrams is proposed. It is based on recurrence relations which can be applied to the propagator as well as to the vertex diagrams. As an application, several…

High Energy Physics - Phenomenology · Physics 2008-02-03 O. V. TARASOV

This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table…

We present the Feynman integral reduction program Kira 1.2 and describe its new features and other changes w.r.t. the previous versions. The main new features include a much faster equation generator, more flexible seed specification…

High Energy Physics - Phenomenology · Physics 2018-12-05 Philipp Maierhöfer , Johann Usovitsch

Sketch editing requires jointly handling high-level semantic changes and precise local redrawing, a combination that is particularly challenging for sparse, style-sensitive line art. Unlike natural images, sketches rely on minimal visual…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Han Zou , Yan Zhang , Ruiqi Yu , Cong Xie , Jie Huang , Zhenpeng Zhan

In the context of a classroom lesson, concepts must be visualized and organized in many ways depending on the needs of the teacher and students. Traditional presentation media such as the blackboard or electronic whiteboard allow for static…

Human-Computer Interaction · Computer Science 2018-09-20 Ken Perlin , Zhenyi He , Karl Rosenberg

We present FaRe, a package for Mathematica that implements the decomposition of a generic tensor Feynman integral, with arbitrary loop number, into scalar integrals in higher dimension. In order for FaRe to work, the package FeynCalc is…

High Energy Physics - Phenomenology · Physics 2016-03-23 Michele Re Fiorentin

We present a new Mathematica package that provides a platform to perform multi-loop computations. ANATAR integrates several existing tools designed for higher-order computations. In particular, it uses QGRAF to generate Feynman diagrams and…

High Energy Physics - Phenomenology · Physics 2025-09-18 Claude Duhr , Pooja Mukherjee , Andres Vasquez