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Showing 164887 results for "computing methodologies"
Mathematics Preprint PDF DOI

Increasing arc-connectivity by bounded- and fixed-size inversions

Florian Horsch, Lucas Picasarri-Arrieta ยท 2026

For a digraph $D$ and some $X \subseteq V(D)$, the inversion of $X$ is the operation of flipping all arcs both of whose endvertices are in $X$. We initiate the study of establishing arc-connectivity pโ€ฆ

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AI & Data Science Preprint PDF DOI

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting

Younes Essafouri, Laure Raynaud, Luciano Drozda, Laurent Risser ยท 2026

As the demand to integrate Artificial Intelligence into high-stakes environments continues to grow, explaining the reasoning behind neural-network predictions has shifted from a theoretical curiosity โ€ฆ

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Physics Preprint PDF DOI

LARA: Validation-Driven Agentic Supercomputer Workflows for Atomistic Modeling

William Dawson, Louis Beal, Yoann Cure, Giuseppe Fisicaro, Dorian Rolland, Luigi Genovese ยท 2026

Large language models (LLMs) and agentic systems have recently demonstrated potential for automating scientific workflows, including atomistic simulations. However, their deployment in high-performancโ€ฆ

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AI & Data Science Preprint PDF DOI

Video Analysis and Generation via a Semantic Progress Function

Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri, Raja Giryes, Daniel Cohen-Or ยท 2026

Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, abrupt semantic jumps.โ€ฆ

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Physics Preprint PDF DOI

Dr.Sai: An agentic AI for real-world physics analysis at BESIII

Mingfeng He, Fayu Jiang, Junkun Jiao, Mingrun Li, Ke Li, Yipu Liao, Beijiang Liu, Tong Liu, Fazhi Qi, Zijie Shang, Weimin Song, Yue Sun, Xiongfei Wang, Hong Wang, Dongbo Xiong, Changzheng Yuan, Bolun Zhang, Zhengde Zhang, Xuliang Zhu ยท 2026

High Energy Physics (HEP) experiments like BESIII produce petabyte-scale data. Extracting physics results requires complex workflows (simulation, reconstruction, statistical analysis, etc.) that tradiโ€ฆ

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Mathematics Preprint PDF DOI

A New Adaptive Deep Learning based Reduced Order Model for Hybrid-Type Parabolic PDEs: Rigorous Error Analysis and Applications

Dawid Kotowski, Mario Ohlberger ยท 2026

This contribution proposes novel data-driven surrogate modeling approaches for parameterized parabolic PDEs, where the parameter dependence can be split into two parts with different decay behavior ofโ€ฆ

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Computer Science Preprint PDF DOI

LaissezCloud: Continuous Resource Renegotiation for the Public Cloud

Tejas Harith, Antoine Kaufmann ยท 2026

Public clouds increasingly expose heterogeneous hardware, but their allocation interface remains built around rigid on-demand and spot service classes. This makes it hard to satisfy time-varying tenanโ€ฆ

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Mathematics Preprint PDF DOI

On the equivalence of semidefinite programming and zero-sum semidefinite games

Jesse Elliott, Constantin Ickstadt, Thorsten Theobald, Elias Tsigaridas ยท 2026

By results of Dantzig (1951) and Adler (2013), computing the optimal solutions of a linear program is equivalent to finding optimal strategies in zero-sum bimatrix games. Dantzig's original result wasโ€ฆ

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Mathematics Preprint PDF DOI

Remarks on infimum and maximal lower bounds of a set of bounded self-adjoint operators

Matthias Gunther, Lutz Klotz ยท 2026

The notions of infimum and maximal lower bounds of a set $\mathfrak M$ of bounded self-adjoint operators were mainly studied for a set $\mathfrak M$ of two elements. The present paper deals with more โ€ฆ

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Physics Preprint PDF DOI

Quantum analog-encoding for correlated Gaussian vectors and their exponentiation with application to rough volatility

Tassa Thaksakronwong, Koichi Miyamoto ยท 2026

Quantum computing may speed up numerical problems involving large matrices that are demanding for classical computers, and active research on this possibility is ongoing. In this work, we propose quanโ€ฆ

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AI & Data Science Preprint PDF DOI

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs ยท 2026

Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its drivโ€ฆ

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AI & Data Science Preprint PDF DOI

Pack only the essentials: Adaptive dictionary learning for kernel ridge regression

Daniele Calandriello, Alessandro Lazaric, Michal Valko ยท 2026

One of the major limits of kernel ridge regression (KRR) is that storing and manipulating the kernel matrix K_n for n samples requires O(n^2) space, which rapidly becomes unfeasible for large n. Nystrโ€ฆ

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AI & Data Science Preprint PDF DOI

Efficient Diffusion Distillation via Embedding Loss

Jincheng Ying, Yitao Chen, Li Wenlin, Minghui Xu, Yinhao Xiao ยท 2026

Recent advances in distilling expensive diffusion models into efficient few-step generators show significant promise. However, these methods typically demand substantial computational resources and exโ€ฆ

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AI & Data Science Preprint PDF DOI

ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding

Dongwei Sun, Jing Yao, Kan Wei, Xiangyong Cao, Chen Wu, Zhenghui Zhao, Pedram Ghamisi, Jun Zhou, Jon Atli Benediktsson ยท 2026

Rapid situational awareness is critical in post-disaster response. While remote sensing damage assessment is evolving from pixel-level change detection to high-level semantic analysis, existing visionโ€ฆ

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AI & Data Science Preprint PDF DOI

A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing

Gaoruishu Long, Jinchao Liu, Bo Liu, Jie Liu, Xiaolin Hu ยท 2026

Raman spectra obtained in real world applications are often a noisy combination of several spectra of various substances in a tested sample. Unmixing such spectra into individual components correspondโ€ฆ

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Computer Science Preprint PDF DOI

Rethinking AI-Mediated Minority Support in Power-Imbalanced Group Decision-Making: From Anonymity To Authenticity

Soohwan Lee, Kyungho Lee ยท 2026

AI-mediated Communication (AIMC) systems increasingly aim to protect minority voices by anonymizing or proxying their input, but anonymity and authenticity are not the same construct. This position paโ€ฆ

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Computer Science Preprint PDF DOI

Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation

Yuxuan Wang, Maria Jose Belda, Fernando Castro, Katzalin Olcoz, David Atienza, Giovanni Ansaloni ยท 2026

Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficiently support it, sinceโ€ฆ

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Computer Science Preprint PDF DOI

Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction

Soohwan Lee, Kyungho Lee ยท 2026

As multi-agent AI systems become more common, users increasingly encounter not a single AI voice but a collective one. This shift introduces social dynamics, such as consensus, dissent, and gradual coโ€ฆ

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Physics Preprint PDF DOI

Active Jurin's law

Birendra Mandal, Joydip Chaudhuri ยท 2026

Capillary rise is one of the classical problems in fluid mechanics and is traditionally described by Jurin's law, which balances capillary suction against hydrostatic pressure. Here we extend this claโ€ฆ

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Economics & Finance Preprint PDF DOI

On Benchmark Hacking in ML Contests: Modeling, Insights and Design

Xiaoyun Qiu, Yang Yu, Haifeng Xu ยท 2026

Benchmark hacking refers to tuning a machine learning model to score highly on certain evaluation criteria without improving true generalization or faithfully solving the intended problem. We study thโ€ฆ

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