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Showing 164887 results for "computing methodologies"
AI & Data Science Preprint PDF DOI

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents

Yuxuan Cai, Jie Zhou, Qin Chen, Liang He ยท 2026

Online lifelong learning enables agents to accumulate experience across interactions and continually improve on long-horizon tasks. However, existing methods typically treat retrieval from past experiโ€ฆ

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Physics Preprint PDF DOI

A computational alloy design framework for the promotion of amorphous grain boundary complexions

Prince Sharma, Jaime Marian, Jason R. Trelewicz, Timothy J. Rupert ยท 2026

Amorphous grain boundary complexions have been shown to be radiation tolerant interfaces that can also reduce grain boundary embrittlement, marking them as favorable microstructural features. However,โ€ฆ

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Physics Preprint PDF DOI

Node-reduction through Joint Optimization of Input and Readout Layers in Photonic Reservoir Equalization

Ruben Van Assche, Sarah Masaad, Peter Bienstman ยท 2026

Photonic reservoir computing is a machine learning paradigm in which a recurrent neural network remains fixed while only the output weights are trained. This makes it a well-suited approach for high-sโ€ฆ

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Computer Science Preprint PDF DOI

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving

Wenyan Chen, Chengzhi Lu, Yanying Lin, Dmitrii Ustiugov ยท 2026

Speculative decoding (SD) is a widely used approach for accelerating decode-heavy LLM inference workloads. While online inference workloads are highly dynamic, existing SD systems are rigid and take aโ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluating Remote Sensing Image Captions Beyond Metric Biases

Ziyun Chen, Fan Liu, Liang Yao, Chuanyi Zhang, Yuye Ma, Wei Zhou ยท 2026

The core objective of image captioning is to achieve lossless semantic compression from visual signals into textual modalities. However, the reliance on manually curated reference texts for evaluationโ€ฆ

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Computer Science Preprint PDF DOI

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks

Nandakrishna Giri, Asmitha K. A., Serena Nicolazzo, Antonino Nocera, Vinod P ยท 2026

Machine learning-based static malware detectors remain vulnerable to adversarial evasion techniques, such as metamorphic engine mutations. To address this vulnerability, we propose a certifiably robusโ€ฆ

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Mathematics Preprint PDF DOI

Weakly convergent fixed point iterations for weakly sequentially non-expansive mappings

Thomas P. Wihler ยท 2026

Fixed point iterations are a fundamental tool in numerical analysis and scientific computing for the approximation of solutions to nonlinear problems. Their convergence is often established via the Baโ€ฆ

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AI & Data Science Preprint PDF DOI

Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness

Fulong Fan, Peilin Liu, Fengzhe Liu, Shuyan Yang, Gang Yan ยท 2026

Large language models perform well on many reasoning tasks, yet they often lack awareness of whether their current knowledge or reasoning state is complete. In non-interactive puzzle settings, the narโ€ฆ

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Computer Science Preprint PDF DOI

Extending Contract Verification for Parallel Programming Models to Fortran

Yussur Mustafa Oraji, Christian Bischof ยท 2026

High-performance computing often relies on parallel programming models such as MPI for distributed-memory systems. While powerful, these models are prone to subtle programming errors, leading to develโ€ฆ

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AI & Data Science Preprint PDF DOI

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

Burak Karabulut, Carlo Manna, Chris Develder ยท 2026

Fault location in distribution grids is critical for reliability and minimizing outage durations. Yet, it remains challenging due to partial observability, given sparse measurement infrastructure. Recโ€ฆ

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Computer Science Preprint PDF DOI

Nearly Optimal Bounds for Computing Decision Tree Splits in Data Streams

Hoang Ta, Hoa T. Vu ยท 2026

We establish nearly optimal upper and lower bounds for approximating decision tree splits in data streams. For regression with labels in the range $\{0,1,\ldots,M\}$, we give a one-pass algorithm usinโ€ฆ

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AI & Data Science Preprint PDF DOI

Neuro-evolutionary stochastic architectures in gauge-covariant neural fields

Rodrigo Carmo Terin ยท 2026

We extend our gauge-covariant stochastic neural-field framework by promoting architecture-level parameters to slow stochastic variables evolving in function space. Our effective theory is formulated iโ€ฆ

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Physics Preprint PDF DOI

Spectral Fluctuation-Dissipation-Response Inequalities

Jie Gu ยท 2026

We derive spectral fluctuation--dissipation--response inequalities for finite-state Markov jump processes. By comparing the causal susceptibility to its passive equilibrium reference, we establish freโ€ฆ

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Computer Science Preprint PDF DOI

A Rocq Formalization of Simplicial Lagrange Finite Elements

Sylvie Boldo (TOCCATA), Francois Clement (SERENA, CERMICS UMR 9032), Vincent Martin (LMAC), Micaela Mayero (TOCCATA, LIPN), Houda Mouhcine (TOCCATA, LIPN, SERENA, CERMICS UMR 9032) ยท 2026

Formalization of mathematics is a major topic, that includes in particular numerical analysis, towards proofs of scientific computing programs. The present study is about the finite element method, a โ€ฆ

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Physics Preprint PDF DOI

The core of the problem: Physical limits of the core-S\'ersic model

Maarten Baes (UGent) ยท 2026

The core-S\'ersic model is the standard tool for describing partially depleted stellar cores in massive early-type galaxies, yet its physical admissibility has rarely been examined. Using numerical deโ€ฆ

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AI & Data Science Preprint PDF DOI

UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual Retrieval

Haokun Wen, Xuemeng Song, Haoyu Zhang, Xiangyu Zhao, Weili Guan, Liqiang Nie ยท 2026

Composed image retrieval, multi-turn composed image retrieval, and composed video retrieval all share a common paradigm: composing the reference visual with modification text to retrieve the desired tโ€ฆ

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Computer Science Preprint PDF DOI

T2S-Metrics: Unified Library for Evaluating SPARQL Queries Generated From Natural Language

Yousouf Taghzouti (ICN, WIMMICS, Laboratoire I3S - SPARKS), Tao Jiang (ICN), Camille Juigne (WIMMICS, Laboratoire I3S - SPARKS), Benjamin Navet (ICN, WIMMICS, Laboratoire I3S - SPARKS), Fabien Gandon (WIMMICS, Laboratoire I3S - SPARKS), Franck Michel (Laboratoire I3S - SPARKS, WIMMICS), Louis-Felix Nothias (ICN) ยท 2026

The evaluation of Question Answering (QA) systems over Knowledge Graphs has historically suffered from fragmentation, inconsistency, and limited reproducibility. While significant progress has been maโ€ฆ

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Physics Preprint PDF DOI

LLM-guided phase diagram construction through high-throughput experimentation

Ryo Tamura, Haruhiko Morito, Yuna Oikawa, Guillaume Deffrennes, Shoichi Matsuda, Naruki Yoshikawa, Tomoaki Takayama, Taichi Abe, Koji Tsuda, Kei Terayama ยท 2026

Constructing phase diagrams for multicomponent alloys requires extensive experimental measurements and is a time-consuming task. Here we investigate whether large language models (LLMs) can guide expeโ€ฆ

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Physics Preprint PDF DOI

Interplay of Flat-band and Anderson localizations in disordered moire superlattices

Qian Liu, Xiaoshuang Xia, Junjie Wang, Peilong Hong, Lei Xu, Lujun Huang, Daohong Song, Yi Liang ยท 2026

Disorder in moire superlattices simultaneously degrades flat-band localization and induces Anderson localization, yet how these two regimes interact has remained unclear. Here, we introduce a combinedโ€ฆ

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Physics Preprint PDF DOI

Mesoscopic theory of flocking with alignment and anti-alignment copying

Chunming Zheng ยท 2026

We study a stochastic model of collective motion in which individuals update their orientation through pairwise aligning or anti-aligning copying interactions. We analyze both annealed dynamics, whereโ€ฆ

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