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🔍 ashraf odeh 📂 Computer Science
Showing 453 results for "ashraf odeh" in Computer Science
Computer Science Preprint PDF DOI

The Blahut--Arimoto Algorithm as a Dynamical System with Exact $\chi^2$ Dissipation

Qiao Wang · 2026

This paper uncovers an exact $\chi^2$ dissipation identity for the Blahut--Arimoto (BA) flow and establishes its fundamental information-geometric structure. While prior works have analyzed BA converg…

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Computer Science Preprint PDF DOI

Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs

Olivier Bournez · 2026

What do recurrent neural networks, polynomial ODEs, and discrete polynomial maps each bring to computation, and what do they lack? All three operate over the continuum--real-valued states evolved by r…

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Computer Science Preprint PDF DOI

AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code

ElMouatez Billah Karbab · 2026

Deep learning malware detectors achieve high classification accuracy but suffer from severe interpretability limitations, typically returning probabilistic verdicts that lack forensic context. We intr…

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Computer Science Preprint PDF DOI

A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies

Somyajit Chakraborty · 2026

Classical robot ethics is often framed around obedience, including Asimov's laws. This framing is insufficient for contemporary AI systems, which are increasingly adaptive, generative, embodied, and e…

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Computer Science Preprint PDF DOI

TAPO-Description Logic for Information Behavior: Refined OBoxes, Inference, and Categorical Semantics

Takao Inoue · 2026

This paper develops a refined version of TAPO-description logic for the analysis of information behavior. The framework is treated not as a single homogeneous object logic, but as a layered formalism …

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Computer Science Preprint PDF DOI

A Projection-Dimension Barrier for Direct Aggregation on the Step-Duplicating Primitive Recursor

Moses Rahnama · 2026

We identify \emph{operational inexpressibility}: for a fixed input and dimension of term-rewriting proof systems, no derivation in the proof language both depends on that dimension and constrains the …

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Computer Science Preprint PDF DOI

Physical and Augmented Reality based Playful Activities for Refresher Training of ASHA Workers in India

Arka Majhi, Satish B. Agnihotri, Aparajita Mondal · 2026

Recent health surveys in India highlight the alarming child malnutrition levels and lower rates of complete child immunization in many parts of India. Previous researches report that the conventional …

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Computer Science Preprint PDF DOI

Refresher Training through Digital and Physical, Card-Based Game for Accredited Social Health Activists (ASHAs) and Anganwadi Workers (AWWs) in India

Arka Majhi, Aparajita Mondal, Satish B. Agnihotri · 2026

India's recent health surveys have highlighted a worrying trend of incomplete child immunization rates across several district clusters in India. Conventional training methods for community healthcare…

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Computer Science Preprint PDF DOI

Symphony: Taming Step Misalignments in the Network for Ring-based Collective Operations

Yuze Jin, Xin Zhe Khooi, Ruyi Yao, Mun Choon Chan · 2026

Ring-based collective operations are widely used in distributed AI training due to their efficient bandwidth utilization. While ring communication excels at pipelining, its performance is heavily depe…

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Computer Science Preprint PDF DOI

What if we have 90 minutes only to teach programming?

Attila Egri-Nagy · 2026

Programming is about automation in a wide variety of domains. Developing itself is one of those. As a side-effect, progress in automated coding may make people less willing to learn computer programmi…

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The Unified Field Theory of Phygital Space

Silvio Meira · 2026

This paper proposes a Unified Field Theory of Phygital Space, positing that contemporary reality is not a dichotomy of "online" and "offline," but a unified ontological manifold of irreducible but cou…

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Computer Science Preprint PDF DOI

Complexity Theory meets Ordinary Differential Equations

Adalbert Fono, Noah Wedlich, Holger Boche, Gitta Kutyniok · 2026

This contribution investigates the computational complexity of simulating linear ordinary differential equations (ODEs) on digital computers. We provide an exact characterization of the complexity blo…

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Computer Science Preprint PDF DOI

Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing

S. Afifi, O. Alo, I. Thakkar, S. Pasricha · 2026

Transformers achieve state-of-the-art performance in natural language processing, vision, and scientific computing, but demand high computation and memory. To address these challenges, we present ASTR…

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LatentFlowSR: High-Fidelity Audio Super-Resolution via Noise-Robust Latent Flow Matching

Fei Liu, Yang Ai, Hui-Peng Du, Yu-Fei Shi, Zhen-Hua Ling · 2026

Audio super-resolution aims to recover missing high-frequency details from bandwidth-limited low-resolution audio, thereby improving the naturalness and perceptual quality of the reconstructed signal.…

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Personalization as a Game: Equilibrium-Guided Generative Modeling for Physician Behavior in Pharmaceutical Engagement

Suyash Mishra · 2026

We present \textbf{EGPF} (Equilibrium-Guided Personalization Framework), a mathematically rigorous architecture unifying Bayesian game theory, category theory, information theory, and generative AI fo…

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Computer Science Preprint PDF DOI

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar · 2026

Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the complexity of integratin…

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Computer Science Preprint PDF DOI

Compositionality of Lyapunov functions via assume-guarantee reasoning

Matteo Capucci, David Jaz Myers · 2026

Assume-guarantee reasoning is a technique for compositional model checking in which system specifications are checked under certain assumptions on system parameters or inputs, and provide guarantees o…

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Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods

Amel Fatima, Tuan Ta, Bradford M. Beckmann · 2026

Distributed ML workloads rely heavily on collective communication across multi-GPU, multi-node systems. Emerging scale-up fabrics, such as NVLink and UALink, enable direct memory access across nodes b…

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Computer Science Preprint PDF DOI

ModTrans: Translating Real-world Models for Distributed Training Simulator

Yi Lyu · 2026

Large-scale distributed training has been a research hot spot in machine learning systems for industry and academia in recent years. However, conducting experiments without physical machines and corre…

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ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering

Joonhyung Bae · 2026

The global landscape of art-technology institutions, including festivals, biennials, research labs, conferences, and hybrid organizations, has grown increasingly diverse, yet systematic frameworks for…

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