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Architecture patterns capture architectural design experience and provide abstract solutions to recurring architectural design problems. They consist of a description of component types and restrict component connection and activation.…

Software Engineering · Computer Science 2017-03-22 Diego Marmsoler , Silvio Degenhardt

An efficient method for solving large nonlinear problems combines Newton solvers and Domain Decomposition Methods (DDM). In the DDM framework, the boundary conditions can be chosen to be primal, dual or mixed. The mixed approach presents…

Numerical Analysis · Mathematics 2018-02-07 Camille Negrello , Pierre Gosselet , Christian Rey

Many algorithms use data structures that maintain properties of matrices undergoing some changes. The applications are wide-ranging and include for example matchings, shortest paths, linear programming, semi-definite programming, convex…

Data Structures and Algorithms · Computer Science 2020-10-28 Jan van den Brand

Deep network architectures struggle to continually learn new tasks without forgetting the previous tasks. A recent trend indicates that dynamic architectures based on an expansion of the parameters can reduce catastrophic forgetting…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Arthur Douillard , Alexandre Ramé , Guillaume Couairon , Matthieu Cord

Microservice architectures promote small, independently developed services, but increase overall architectural complexity. It is crucial that developers understand the architecture and how changes to a service affect the overall system, but…

Software Engineering · Computer Science 2026-02-10 Oscar Manglaras , Alex Farkas , Thomas Woolford , Christoph Treude , Markus Wagner

Architectural Design Rewriting (ADR, for short) is a rule-based formal framework for modelling the evolution of architectures of distributed systems. Rules allow ADR graphs to be refined. After equipping ADR with a simple logic, we equip…

Logic in Computer Science · Computer Science 2012-12-19 Kyriakos Poyias , Emilio Tuosto

Chart comprehension presents significant challenges for machine learning models due to the diverse and intricate shapes of charts. Existing multimodal methods often overlook these visual features or fail to integrate them effectively for…

Computation and Language · Computer Science 2024-08-01 Hanwen Zheng , Sijia Wang , Chris Thomas , Lifu Huang

An undergraduate compilers course poses significant challenges to students, in both the conceptual richness of the major components and in the programming effort necessary to implement them. In this paper, I argue that a related…

Computers and Society · Computer Science 2014-12-02 John H. E. Lasseter

Despite the flexibility and popularity of mixture models, their associated parameter spaces are often difficult to represent due to fundamental identification problems. This paper looks at a novel way of representing such a space for…

Methodology · Statistics 2015-10-16 Vahed Maroufy , Paul Marriott

Many robots are not equipped with a manipulator and many objects are not suitable for prehensile manipulation (such as large boxes and cylinders). In these cases, pushing is a simple yet effective non-prehensile skill for robots to interact…

Robotics · Computer Science 2025-11-21 Zili Tang , Ying Zhang , Meng Guo

We consider wireless device-to-device (D2D) caching networks with single-hop transmissions. Previous work has demonstrated that caching and coded multicasting can significantly increase per user throughput. However, the state-of-the-art…

Information Theory · Computer Science 2019-10-15 Nicholas Woolsey , Rong-Rong Chen , Mingyue Ji

We consider the standard broadcast setup with a single server broadcasting information to a number of clients, each of which contains local storage (called \textit{cache}) of some size, which can store some parts of the available files at…

Information Theory · Computer Science 2020-02-21 Shailja Agrawal , K V Sushena Sree , Prasad Krishnan

Dependent pattern matching is a key feature in dependently typed programming. However, there is a theory-practice disconnect: while many proof assistants implement pattern matching as primitive, theoretical presentations give semantics to…

Programming Languages · Computer Science 2025-01-31 Joseph Eremondi , Ohad Kammar

Identifying the dynamic precompensator that renders a nonlinear control system feedback linearizable is a challenging problem. Researchers have explored the problem -- dynamic feedback linearization -- and produced existence conditions and…

Optimization and Control · Mathematics 2026-02-03 Rollen S. D'Souza

In this paper a novel hybrid approach for compensating the distortion of any interpolation has been proposed. In this hybrid method, a modular approach was incorporated in an iterative fashion. By using this approach we can get drastic…

Multimedia · Computer Science 2010-09-21 A. ParandehGheibi , M. A. Akhaee , A. Ayremlou , M. A. Rahimian , F. Marvasti

Mechanical metamaterials actuators achieve pre-determined input--output operations exploiting architectural features encoded within a single 3D printed element, thus removing the need of assembling different structural components. Despite…

Soft Condensed Matter · Physics 2020-09-09 Silvia Bonfanti , Roberto Guerra , Francesc Font Clos , Daniel Rayneau-Kirkhope , Stefano Zapperi

We, as a society, need artists to help us interpret and explain science, but what does an artist's studio look like when today's science is built upon the language of large, increasingly complex data? This paper presents a data…

Human-Computer Interaction · Computer Science 2020-10-20 Bridger Herman , Francesca Samsel , Annie Bares , Seth Johnson , Greg Abram , Daniel F. Keefe

In human perception and cognition, a fundamental operation that brains perform is interpretation: constructing coherent neural states from noisy, incomplete, and intrinsically ambiguous evidence. The problem of interpretation is well…

Machine Learning · Computer Science 2019-09-30 Michael Iuzzolino , Yoram Singer , Michael C. Mozer

Designing visually diverse and high-quality designs remains a manual, time-consuming process, limiting scalability and personalization in creative workflows. We present a system for generating editable design variations using a decoder-only…

Machine Learning · Computer Science 2026-04-07 Karthik Suresh , Amine Ben Khalifa , Li Zhang , Wei-ting Hsu , Fangzheng Wu , Vinay More , Asim Kadav

This paper introduces decorated merge trees (DMTs) as a novel invariant for persistent spaces. DMTs combine both $\pi_0$ and $H_n$ information into a single data structure that distinguishes filtrations that merge trees and persistent…

Algebraic Topology · Mathematics 2021-07-29 Justin Curry , Haibin Hang , Washington Mio , Tom Needham , Osman Berat Okutan
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