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This work proposes xGEMs or manifold guided exemplars, a framework to understand black-box classifier behavior by exploring the landscape of the underlying data manifold as data points cross decision boundaries. To do so, we train an…

Machine Learning · Computer Science 2018-06-26 Shalmali Joshi , Oluwasanmi Koyejo , Been Kim , Joydeep Ghosh

ZX-Calculus is a versatile graphical language for quantum computation equipped with an equational theory. Getting inspiration from Geometry of Interaction, in this paper we propose a token-machine-based asynchronous model of both pure…

Logic in Computer Science · Computer Science 2022-08-04 Kostia Chardonnet , Benoît Valiron , Renaud Vilmart

Graph Neural Networks (GNNs) have achieved significant success across various applications. However, their complex structures and inner workings can be challenging for non-AI experts to understand. To address this issue, this study presents…

Human-Computer Interaction · Computer Science 2025-12-18 Yilin Lu , Chongwei Chen , Yuxin Chen , Kexin Huang , Marinka Zitnik , Qianwen Wang

We present a graphical simulation tool for visually and interactively exploring the processing of various events handled by an operating system when running a program. Our graphical simulator is available for use on the web and locally by…

Other Computer Science · Computer Science 2019-11-12 Joshua W. Buck , Saverio Perugini

The geometry automated theorem proving area distinguishes itself by a large number of specific methods and implementations, different approaches (synthetic, algebraic, semi-synthetic) and different goals and applications (from research in…

Artificial Intelligence · Computer Science 2020-03-02 Nuno Baeta , Pedro Quaresma , Zoltán Kovács

Teaching precise mathematical reasoning can be very hard. It is very easy for a student to make a subtle mistake in a proof which invalidates it, but it is often hard for the teacher to pinpoint and explain the problem in the (often…

Computers and Society · Computer Science 2015-07-15 Marek Materzok

This paper lays the foundations for a unified framework for numerically and computationally applying methods drawn from a range of currently distinct geometrical approaches to statistical modelling. In so doing, it extends information…

Statistics Theory · Mathematics 2012-09-11 Karim Anaya-Izquierdo , Frank Critchley , Paul Marriott , Paul W. Vos

Extension of the open-source simulation package GSEIM for power electronics applications is presented. Recent developments in GSEIM, including those oriented specifically towards power electronic circuits, are described. Some examples of…

Systems and Control · Electrical Eng. & Systems 2022-04-28 Mahesh B. Patil , V. V. S. Pavan Kumar Hari , Ruchita D. Korgaonkar , Kumar Appaiah

We present the specification for a modeling language, VoxML, which encodes semantic knowledge of real-world objects represented as three-dimensional models, and of events and attributes related to and enacted over these objects. VoxML is…

Computation and Language · Computer Science 2016-10-06 James Pustejovsky , Nikhil Krishnaswamy

Molecular visualization software has long supported research and education in chemical and structural sciences, but consumer devices constrained to 2D inputs and outputs pose two major challenges: they poorly convey 3D nature, and 3D…

Chemical Physics · Physics 2025-09-05 Luciano A. Abriata

In this paper, we introduce a system called GamePad that can be used to explore the application of machine learning methods to theorem proving in the Coq proof assistant. Interactive theorem provers such as Coq enable users to construct…

Machine Learning · Computer Science 2018-12-24 Daniel Huang , Prafulla Dhariwal , Dawn Song , Ilya Sutskever

This article introduces Globular, an online proof assistant for the formalization and verification of proofs in higher-dimensional category theory. The tool produces graphical visualizations of higher-dimensional proofs, assists in their…

Logic in Computer Science · Computer Science 2023-06-22 Krzysztof Bar , Aleks Kissinger , Jamie Vicary

In this manuscript, we propose to expand the use of scientific repositories such as Zenodo and HEP Data, in particular in order to better examine multi-parametric solutions of physical models. The implementation of interactive web-based…

High Energy Physics - Experiment · Physics 2020-11-10 Faruk Diblen , Luc Hendriks , Bob Stienen , Sascha Caron , Rena Bakhshi , Jisk Attema

Explainable deep learning models are advantageous in many situations. Prior work mostly provide unimodal explanations through post-hoc approaches not part of the original system design. Explanation mechanisms also ignore useful textual…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Varun Nagaraj Rao , Xingjian Zhen , Karen Hovsepian , Mingwei Shen

Dynamic geometry systems (DGS) have become basic tools in many areas of geometry as, for example, in education. Geometry Automated Theorem Provers (GATP) are an active area of research and are considered as being basic tools in future…

Computational Geometry · Computer Science 2014-05-15 Yannis Haralambous , Pedro Quaresma

Spreadsheets are end-user programs and domain models that are heavily employed in administration, financial forecasting, education, and science because of their intuitive, flexible, and direct approach to computation. As a result,…

Databases · Computer Science 2014-01-30 Michael Kohlhase , Corneliu Prodescu , Christian Liguda

In this paper we make some considerations about using a dynamic geometry software for teaching history of mathematica at university level. After a short introduction to the software GeoGebra, we discuss four activities. The first is an…

History and Overview · Mathematics 2020-12-11 Aldo Brigaglia , Maria Anna Raspanti , Enrico Rogora

In this paper we present a short overview of the new Wolfram Mathematica package intended for elementary "in-basis" tensor and differential-geometric calculations. In contrast to alternatives our package is designed to be easy-to-use,…

Nuclear Theory · Physics 2021-11-15 D. O. Rybalka

Invariant and equivariant models incorporate the symmetry of an object to be estimated (here non-parametric regression functions $f : \mathcal{X} \rightarrow \mathbb{R}$). These models perform better (with respect to $L^2$ loss) and are…

Machine Learning · Statistics 2022-05-31 Louis G. Christie , John A. D. Aston

Mathematical proof is undoubtedly the cornerstone of mathematics. The emergence, in the last years, of computing and reasoning tools, in particular automated geometry theorem provers, has enriched our experience with mathematics immensely.…

Artificial Intelligence · Computer Science 2022-01-06 Nuno Baeta , Pedro Quaresma