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🔍 computing methodologies 📂 AI & Data Science 📄 Preprint
Showing 31845 results for "computing methodologies" in AI & Data Science · Preprint
AI & Data Science Preprint PDF DOI

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan · 2026

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In particular, it does not…

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AI & Data Science Preprint PDF DOI

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

Matthias Hertel, Alexandra Nikoltchovska, Sebastian Putz, Ralf Mikut, Benjamin Schafer, Veit Hagenmeyer · 2026

Time Series Foundation Models (TSFMs) have recently emerged as general-purpose forecasting models and show considerable potential for applications in energy systems. However, applications in critical …

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Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

Ansar Aynetdinov, Patrick Haller, Alan Akbik · 2026

Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German,…

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Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems

Taslim Jamal Arif, Kuldeep Singh · 2026

Text-to-SQL (T2SQL) evaluation in production environments poses fundamental challenges that existing benchmarks do not address. Current evaluation methodologies whether rule-based SQL matching or sche…

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Ease of dependency distance minimization in star-like structures

Emilia Garcia-Casademont, Ramon Ferrer-i-Cancho · 2026

The syntactic structure of a sentence can be represented as a tree where edges indicate syntactic dependencies between words. When that structure is a star, it has been demonstrated that the head shou…

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A Pattern Language for Resilient Visual Agents

Habtom Kahsay Gidey, Alexander Lenz, Alois Knoll · 2026

Integrating multimodal foundation models into enterprise ecosystems presents a fundamental software architecture challenge. Architects must balance competing quality attributes: the high latency and n…

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Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar · 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software …

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Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions

Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery, Maarten Marsman · 2026

Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addressed through reversible…

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AI & Data Science Preprint PDF DOI

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

Salman Jan, Toqeer Ali Syed, Shahid Kamal, Qamar Wali, Ali Akarma · 2026

This article outlines a new framework of traffic light optimization through a digital twin of the transport infrastructure, managed by agentic AI to ensure real-time autonomous decisions. The framewor…

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Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents

Chunhui Zhang, Yuxuan Wang, Aoyang Qin, Yi-Long Lu, Kunlun Wu, Yizhou Wang, Wei Wang · 2026

Current embodied agents are often limited to passive instruction-following or reactive need-satisfaction, lacking a stable, high-order value framework essential for long-term, self-directed behavior a…

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Green Physics-Informed Machine Learning Models For Structural Health Monitoring

Daisy R Bradley, Elizabeth J Cross · 2026

Machine learning continues to emerge as an important tool to be utilised within structural engineering and structural health monitoring, due to its ability to accurately and quickly perform both regre…

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Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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Syntactically-guided Information Maintenance in Sentence Comprehension

Shinnosuke Isono, Kohei Kajikawa · 2026

Maintaining information in context is essential in successful real-time language comprehension, but maintenance is cognitively costly and can slow processing. We hypothesize that rational language use…

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ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space

Gabe Guo, Thanawat Sornwanee, Lutong Hao, Elon Litman, Stefano Ermon, Jose Blanchet · 2026

Generating continuous-time, continuous-space stochastic processes (e.g., videos, weather forecasts) conditioned on partial observations (e.g., first and last frames) is a fundamental challenge. Existi…

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LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human--LLM Judgment Gaps

Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · 2026

Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments into a single gold standard, discarding the distr…

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Estimating Population Viral Load Contextual Exposure Using GPS-Derived Activity Spaces in Rural South Africa

Zhaoxing Wu, Haoyang Wu, Thulile Mathenjwa, Elphas Okango, Khai Hoan Tram, Margot Otto, Maxime Inghels, Paul Mee, Diego Cuadros, Hae-Young Kim, Till Barnighausen, Frank Tanser, Adrian Dobra · 2026

This article introduces novel methodologies for estimating contextual exposure to HIV population viral load using GPS data. We propose a comprehensive analytical framework comprising (i) local (grid-c…

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Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

Taida Li, Yujun Yan, Fei Dou, Wenzhan Song, Xiang Zhang · 2026

Deep learning for cross-subject EEG decoding is hindered by high inter-subject variability, which introduces a severe domain shift between training and unseen test subjects. This survey presents a com…

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Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid su…

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Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in enginee…

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Differentially-Private Text Rewriting reshapes Linguistic Style

Stefan Arnold · 2026

Differential Privacy (DP) for text matured from disjointed word-level substitutions to contiguous sentence-level rewriting by leveraging the generative capacity of language models. While this form of …

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