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🔍 razvan pascanu 📂 Computer Science
Showing 189 results for "razvan pascanu" in Computer Science
Computer Science Preprint PDF DOI

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs

Parteek Jamwal, Minghao Shao, Boyuan Chen, Achyuta Muthuvelan, Asini Subanya, Boubacar Ballo, Kashish Satija, Mariam Shafey, Mohamed Mahmoud, Moncif Dahaji Bouffi, Pasindu Wickramasinghe, Siyona Goel, Yaakulya Sabbani, Hakim Hacid, Mthandazo Ndhlovu, Eleanna Kafeza, Sanjay Rawat, Muhammad Shafique · 2026

Large Language Models (LLMs) have demonstrated remarkable capabilities across various cybersecurity tasks, including vulnerability classification, detection, and patching. However, their potential in …

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Computer Science Preprint PDF DOI

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation

Donglin Li, Daming Li, Hanyuan Shi, Jialu Zhang · 2026

Block-based programming environments such as Scratch are widely used in introductory computing education, yet scalable and reliable automated assessment remains elusive. Scratch programs are highly he…

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Computer Science Preprint PDF DOI

From Necklaces to Coalitions: Fair and Self-Interested Distribution of Coalition Value Calculations

Terry R. Payne, Luke Riley · 2026

A key challenge in distributed coalition formation within characteristic function games is determining how to allocate the calculation of coalition values across a set of agents. The number of possibl…

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Computer Science Preprint PDF DOI

Optimal FPT-Approximability for Modular Linear Equations

Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov, Magnus Wahlstrom · 2026

We show optimal FPT-approximability results for solving almost satisfiable systems of modular linear equations, completing the picture of the parameterized complexity and FPT-approximability landscape…

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Computer Science Preprint PDF DOI

Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation

Alexandra Irger, Ella Hugie, Minghao Guo, Simon Warchol, Kenneth Moreland, David Pugmire, Wojciech Matusik, Hanspeter Pfister · 2026

Visualization is central to scientific discovery, yet authoring tools remain split between information and scientific visualization, and expertise in one rarely transfers to the other. Large Language …

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Computer Science Preprint PDF DOI

Faster Parameterized Vertex Multicut

Huairui Chu, Yuxi Liu, Daniel Lokshtanov, Junqiang Peng, Kangyi Tian, Mingyu Xiao · 2026

In the {\sc Vertex Multicut} problem the input consists of a graph $G$, integer $k$, and a set $\mathbf{T} = \{(s_1, t_1), \ldots, (s_p, t_p)\}$ of pairs of vertices of $G$. The task is to find a set …

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Computer Science Preprint PDF DOI

Competitive Analysis of Online Facility Assignment Algorithms on Discrete Grid Graphs: Performance Bounds and Remediation Strategies

Lamya Alif, Raian Tasnim Saoda, Sumaiya Afrin, Md. Rawha Siddiqi Riad, Md. Tanzeem Rahat, Md Manzurul Hasan · 2026

We study the \emph{Online Facility Assignment} (OFA) problem on a discrete $r\times c$ grid graph under the standard model of Ahmed, Rahman, and Kobourov: a fixed set of facilities is given, each with…

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Computer Science Preprint PDF DOI

Quantifying Noise in Language Generation

Aaron Li, Ian Zhang · 2026

Kleinberg and Mullainathan recently proposed a formal framework for studying the phenomenon of language generation, called language generation in the limit. In this model, an adversary gives an enumer…

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Computer Science Preprint PDF DOI

Density Matters: A Complexity Dichotomy of Deleting Edges to Bound Subgraph Density

Matthias Bentert, Tom-Lukas Breitkopf, Vincent Froese, Anton Herrmann, Andre Nichterlein · 2026

We study $\tau$-Bounded-Density Edge Deletion ($\tau$-BDED), where given an undirected graph $G$, the task is to remove as few edges as possible to obtain a graph $G'$ where no subgraph of $G'$ has de…

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Computer Science Preprint PDF DOI

Raven: Mining Defensive Patterns in Ethereum via Semantic Transaction Revert Invariants Categories

Mojtaba Eshghie, Melissa Mazura, Alexandre Bartel · 2025

We frame Ethereum transactions reverted by invariants-require(<invariant>)/ assert(<invariant>)/if (<invariant>) revert statements in the contract implementation-as a positive signal of active on-chai…

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Computer Science Preprint PDF DOI

On the SER Performance of ZF and MMSE Receivers in Pilot-Aided Simultaneous Communication and Localization

Shuaishuai Han, Emad Alsusa, Arafat Al-Dweik · 2025

In this paper, a symbol error rate (SER) analysis is provided to evaluate the impact of localization inaccuracy on the communication performance under Zero-Forcing (ZF) and Minimum Mean-Square Error (…

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Computer Science Preprint PDF DOI

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN

Mohd Faisal Khan, Mukul Lokhande, Santosh Kumar Vishvakarma · 2025

Edge-AI applications still face considerable challenges in enhancing computational efficiency in resource-constrained environments. This work presents RAMAN, a resource-efficient and approximate posit…

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Computer Science Preprint PDF DOI

RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People

Xinyun Cao, Kexin Phyllis Ju, Chenglin Li, Venkatesh Potluri, Dhruv Jain · 2025

As virtual 3D environments become more prevalent, equitable access is essential for blind and low-vision (BLV) users, who face challenges with spatial awareness, navigation, and interaction. Prior wor…

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Computer Science Preprint PDF DOI

RANGAN: GAN-empowered Anomaly Detection in 5G Cloud RAN

Douglas Liao, Jiping Luo, Jens Vevstad, Nikolaos Pappas · 2025

Radio Access Network (RAN) systems are inherently complex, requiring continuous monitoring to prevent performance degradation and ensure optimal user experience. The RAN leverages numerous key perform…

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Computer Science Preprint PDF DOI

Going Beyond Twin-width? CSPs with Unbounded Domain and Few Variables

Peter Jonsson, Victor Lagerkvist, Jorke M. de Vlas, Magnus Wahlstrom · 2025

We study a model of constraint satisfaction problems geared towards instances with few variables but with domain of unbounded size (udCSP). Our model is inspired by recent work on FPT algorithms for M…

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Computer Science Preprint PDF DOI

Language Generation in the Limit: Noise, Loss, and Feedback

Yannan Bai, Debmalya Panigrahi, Ian Zhang · 2025

Kleinberg and Mullainathan (2024) recently proposed a formal framework called language generation in the limit and showed that given a sequence of example strings from an unknown target language drawn…

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Computer Science Preprint PDF DOI

Rattan: An Extensible and Scalable Modular Internet Path Emulator

Minhu Wang, Yixin Shen, Bo Wang, Haixuan Tong, Yutong Xie, Yixuan Gao, Yan Liu, Li Chen, Mingwei Xu, Jianping Wu · 2025

The rapid growth of Internet paths in heterogeneity, scale, and dynamics has made existing emulators increasingly insufficient in flexibility, scalability, and usability. To address these limitations,…

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Computer Science Preprint PDF DOI

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches

Dennis Jacob, Chong Xiang, Prateek Mittal · 2025

Deep learning techniques have enabled vast improvements in computer vision technologies. Nevertheless, these models are vulnerable to adversarial patch attacks which catastrophically impair performanc…

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Computer Science Preprint PDF DOI

Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications

Adithya Krishna, Sohan Debnath, Madhuvanthi Srivatsav, Andre van Schaik, Mahesh Mehendale, Chetan Singh Thakur · 2025

High-quality, multi-channel neural recording is indispensable for neuroscience research and clinical applications. Large-scale brain recordings often produce vast amounts of data that must be wireless…

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Computer Science Preprint PDF DOI

A BLE and UWB Beacon-Assist Framework for Multiuser Augmented Reality Synchronization Across Multiple Devices in Shared Environments

Maitree Hirunteeyakul · 2025

The challenge to synchronize augmented reality (AR) across sessions/devices has been solved by relying solely on vision-feature mapping, which is suboptimal in scaling workable space and flaws under v…

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