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The use of adaptive workflow management for in situ visualization and analysis has been a growing trend in large-scale scientific simulations. However, coordinating adaptive workflows with traditional procedural programming languages can be…

Programming Languages · Computer Science 2023-03-30 Qi Wu , Tyson Neuroth , Oleg Igouchkine , Konduri Aditya , Jacqueline H. Chen , Kwan-Liu Ma

Particle physics detectors increasingly make use of custom FPGA firmware and application-specific integrated circuits (ASICs) for data readout and triggering. As these designs become more complex, it is important to ensure that they are…

Instrumentation and Detectors · Physics 2019-10-16 Benjamin John Rosser

Reinforcement learning (RL) has gained increasing attraction in the academia and tech industry with launches to a variety of impactful applications and products. Although research is being actively conducted on many fronts (e.g., offline…

Machine Learning · Computer Science 2021-12-13 Ruiyang Xu , Zhengxing Chen

This paper introduces a novel problem, distributional information embedding, motivated by the practical demands of multi-bit watermarking for large language models (LLMs). Unlike traditional information embedding, which embeds information…

Cryptography and Security · Computer Science 2025-07-03 Haiyun He , Yepeng Liu , Ziqiao Wang , Yongyi Mao , Yuheng Bu

Despite the increasing need for modeling and implementing Distributed Databases (DDB), distributed database management systems are still quite far from helping the designer to directly implement its BDD. Indeed, the fundamental principle of…

Databases · Computer Science 2015-04-14 Fadoua Hassen , Amel Grissa Touzi

We introduce the first principled framework, Lumos, for specifying and formally certifying Language Model System (LMS) behaviors. Lumos is an imperative probabilistic programming DSL over graphs, with constructs to generate independent and…

Programming Languages · Computer Science 2026-04-02 Isha Chaudhary , Vedaant Jain , Prineet Parhar , Kavya Sachdeva , Avaljot Singh , Sayan Ranu , Gagandeep Singh

Next-generation projects in High Energy Physics will reach again a new dimension of complexity. Information management has to ensure an efficient and economic information flow within the collaborations, offering world-wide up-to-date…

Databases · Computer Science 2007-05-23 Jochen Buerger , Lars Hagge , Jens Kreutzkamp , Kathrin Lappe , Andrea Robben

Distributed Denial of Service attacks have become a significant threat to industries and governments leading to substantial financial losses. With the growing reliance on internet services, DDoS attacks can disrupt services by overwhelming…

Machine Learning · Computer Science 2025-01-27 Debashis Kar Suvra

The Message Passing Interface specification (MPI) defines a portable message-passing API used to program parallel computers. MPI programs manifest a number of challenges on what concerns correctness: sent and expected values in…

Programming Languages · Computer Science 2015-08-21 César Santos , Francisco Martins , Vasco Thudichum Vasconcelos

Innovative Electronic Design Automation (EDA) solutions are important to meet the design requirements for increasingly complex electronic devices. Verilog, a hardware description language, is widely used for the design and verification of…

Machine Learning · Computer Science 2023-06-08 Enrique Dehaerne , Bappaditya Dey , Sandip Halder , Stefan De Gendt

A verification method for distributed systems based on decoupling forward and backward behaviour is proposed. This method uses an event structure based algorithm that, given a CCS process, constructs its causal compression relative to a…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Jean Krivine

Formal Methods are mathematically-based techniques for software design and engineering, which enable the unambiguous description of and reasoning about a system's behaviour. Autonomous systems use software to make decisions without human…

Software Engineering · Computer Science 2021-07-29 Matt Luckcuck

The source code suggestions provided by current IDEs are mostly dependent on static type learning. These suggestions often end up proposing irrelevant suggestions for a peculiar context. Recently, deep learning-based approaches have shown…

Neural and Evolutionary Computing · Computer Science 2020-07-15 Yasir Hussain , Zhiqiu Huang , Yu Zhou , Senzhang Wang

Program verification is to develop the program's proof system, and to prove the proof system soundness with respect to a trusted operational semantics of the program. However, many practical program verifiers are not based on operational…

Logic in Computer Science · Computer Science 2021-02-09 ShangBei Wang

Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone. There has been an advent of toolkits and recipes centered around so-called prompt…

Databases · Computer Science 2023-08-09 Aditya G. Parameswaran , Shreya Shankar , Parth Asawa , Naman Jain , Yujie Wang

We describe techniques for synthesis and verification of recursive functional programs over unbounded domains. Our techniques build on top of an algorithm for satisfiability modulo recursive functions, a framework for deductive synthesis,…

Programming Languages · Computer Science 2013-04-23 Etienne Kneuss , Viktor Kuncak , Ivan Kuraj , Philippe Suter

The Model Checking Integrated Planning System (MIPS) is a temporal least commitment heuristic search planner based on a flexible object-oriented workbench architecture. Its design clearly separates explicit and symbolic directed exploration…

Artificial Intelligence · Computer Science 2011-07-04 S. Edelkamp

Safety and reliability play a crucial role when designing Robotic Autonomous Systems (RAS). Early consideration of hazards, risks and mitigation actions -- already in the concept study phase -- are important steps in building a solid…

Robotics · Computer Science 2026-01-23 Atef Azaiez , David Alireza Anisi

Hardware design verification (DV) is a process that checks the functional equivalence of a hardware design against its specifications, improving hardware reliability and robustness. A key task in the DV process is the test stimuli…

Machine Learning · Computer Science 2025-03-26 Zixi Zhang , Balint Szekely , Pedro Gimenes , Greg Chadwick , Hugo McNally , Jianyi Cheng , Robert Mullins , Yiren Zhao

Verifying the robustness of machine learning models against evasion attacks at test time is an important research problem. Unfortunately, prior work established that this problem is NP-hard for decision tree ensembles, hence bound to be…

Machine Learning · Computer Science 2023-11-14 Stefano Calzavara , Lorenzo Cazzaro , Giulio Ermanno Pibiri , Nicola Prezza