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We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired object type, the network interactively recommends plausible…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Arnab Ghosh , Richard Zhang , Puneet K. Dokania , Oliver Wang , Alexei A. Efros , Philip H. S. Torr , Eli Shechtman

"How common is interactive visualization on the web?" "What is the most popular visualization design?" "How prevalent are pie charts really?" These questions intimate the role of interactive visualization in the real (online) world. In this…

Human-Computer Interaction · Computer Science 2017-11-17 Leilani Battle , Peitong Duan , Zachery Miranda , Dana Mukusheva , Remco Chang , Michael Stonebraker

A sketch is a probabilistic data structure used to record frequencies of items in a multi-set. Sketches are widely used in various fields, especially those that involve processing and storing data streams. In streaming applications with…

Data Structures and Algorithms · Computer Science 2017-02-08 Tong Yang , Lingtong Liu , Yibo Yan , Muhammad Shahzad , Yulong Shen , Xiaoming Li , Bin Cui , Gaogang Xie

The scientific community use PDEs to model a range of problems. The people in this domain are interested in visualizing their results, but existing mechanisms for visualization can not handle the full richness of computations in the domain.…

Human-Computer Interaction · Computer Science 2017-06-20 Charisee Chiw , Gordon Kindlmann , John Reppy

Generative models of graphs are well-known, but many existing models are limited in scalability and expressivity. We present a novel sequential graphical variational autoencoder operating directly on graphical representations of data. In…

Machine Learning · Computer Science 2019-12-18 Bowen Jing , Ethan A. Chi , Jillian Tang

We study the most general triangle diagram through the Symmetries of Feynman Integrals (SFI) approach. The SFI equation system is obtained and presented in a simple basis. The system is solved providing a novel derivation of an essentially…

High Energy Physics - Theory · Physics 2020-04-22 Barak Kol , Subhajit Mazumdar

Drawing and visualisation of molecular structures are some of the most common tasks carried out in structural glycobiology, typically using various software. In this perspective article, we outline developments in the computational tools…

Quantitative Methods · Quantitative Biology 2020-10-07 Kanhaya Lal , Rafael Bermeo , Serge Pérez

The recent use of `Big Code' with state-of-the-art deep learning methods offers promising avenues to ease program source code writing and correction. As a first step towards automatic code repair, we implemented a graph neural network model…

Machine Learning · Computer Science 2019-05-17 Jessica Schrouff , Kai Wohlfahrt , Bruno Marnette , Liam Atkinson

We argue that the Mellin-Barnes representations of Feynman diagrams can be used for obtaining linear systems of homogeneous differential equations for the original Feynman diagrams with arbitrary powers of propagators without recourse to…

High Energy Physics - Theory · Physics 2015-06-05 Mikhail Yu. Kalmykov , Bernd A. Kniehl

We present an application that automatically writes the Helas library corresponding to the Feynman rules of any Lagrangian, renormalizable or not, in quantum field theory. The code, written in Python, takes the Universal FeynRules Output as…

High Energy Physics - Phenomenology · Physics 2012-08-02 Priscila de Aquino , William Link , Fabio Maltoni , Olivier Mattelaer , Tim Stelzer

Diagrams play a central role in research papers for conveying ideas, yet they are often notoriously complex and labor-intensive to create. Although diagrams are presented as images, standard image generative models struggle to produce clear…

Computation and Language · Computer Science 2025-11-03 Chumeng Liang , Jiaxuan You

Chart corpora, which comprise data visualizations and their semantic labels, are crucial for advancing visualization research. However, the labels in most existing corpora are high-level (e.g., chart types), hindering their utility for…

We present a simple trick that allows to consider the sum of all connected Feynman diagrams at fixed position of interaction vertices for general fermionic models. With our approach one achieves superior performance compared to Diagrammatic…

Strongly Correlated Electrons · Physics 2017-08-02 Riccardo Rossi

The symmetry factor of Feynman diagrams for real and complex scalar fields is presented. Being analysis of Wick expansion for Green functions, the mentioned factor is derived in a general form. The symmetry factor can be separated into two…

High Energy Physics - Phenomenology · Physics 2011-01-17 P. V. Dong , L. T. Hue , H. T. Hung , H. N. Long , N. H. Thao

Deriving the Feynman rules for lattice perturbation theory from actions and operators is complicated, especially when improvement terms are present. This physically important task is, however, suitable for automation. We describe a flexible…

High Energy Physics - Lattice · Physics 2007-05-23 A. Hart , G. M. von Hippel , R. R. Horgan , L. C. Storoni

Sunny is a Julia package designed to serve the needs of the quantum magnetism community. It supports the specification of a very broad class of spin models and a diverse suite of numerical solvers. These include powerful methods for…

We present new results on FeynOnium, an ongoing project to develop a general purpose software toolkit for semi-automatic symbolic calculations in nonrelativistic Effective Field Theories (EFTs). Building upon FeynCalc, an existing…

High Energy Physics - Phenomenology · Physics 2020-12-01 Nora Brambilla , Hee Sok Chung , Vladyslav Shtabovenko , Antonio Vairo

Precise understanding of strongly interacting fermions, from electrons in modern materials to nuclear matter, presents a major goal in modern physics. However, the theoretical description of interacting Fermi systems is usually plagued by…

Feynman's diagrammatic series is a common language for a formally exact theoretical description of systems of infinitely-many interacting quantum particles, as well as a foundation for precision computational techniques. Here we introduce a…

Strongly Correlated Electrons · Physics 2024-09-12 Evgeny Kozik

We present python libraries for Feynman graphs manipulation. The key feature of these libraries is usage of generalization of graph representation offered by B. G. Nickel et al. In this approach graph is represented in some unique…

High Energy Physics - Phenomenology · Physics 2014-10-03 D. Batkovich , Yu. Kirienko , M. Kompaniets , S. Novikov
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