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AI & Data Science Preprint PDF DOI

Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence

Kotaro Sasaki, Hisashi Noma, Theodoros Evrenoglou ยท 2026

In diagnostic test accuracy meta-analysis (DTA-MA), standard inference methods using bivariate random-effects models for jointly synthesizing sensitivity and specificity can be sensitive to outlying sโ€ฆ

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Mathematics Preprint PDF DOI

A Regularized Hessian-Free Inexact Newton-Type Method with Global $\mathcal{O}(k^{-2})$ Convergence

Leandro Farias Maia, Antonio Victor B. Nascimento, Paulo Sergio M. Santos, Gilson N. Silva ยท 2026

We propose a regularized Hessian-free Newton-type method for minimizing smooth convex functions with Lipschitz continuous Hessians. The algorithm constructs an approximate Hessian by finite differenceโ€ฆ

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Engineering Preprint PDF DOI

Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities

Miroslav Krstic ยท 2026

Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the planโ€ฆ

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Physics Preprint PDF DOI

Optical effects in Gaseous Electron Multipliers (GEMs)

D. Edgeman, F.M. Brunbauer, M. Gardner, D. Loomba, P.A. Majewski, T. Marley, L. Millins, T. Neep, K. Nikolopoulos, J. Schueler, E. Tilly, W. Thompson ยท 2026

Optical time projection chambers (OTPCs) are well suited for applications that require the highest spatial resolution for particle track reconstruction. The MIGDAL experiment uses a glass GEM-based OTโ€ฆ

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AI & Data Science Preprint PDF DOI

Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings

Tomomasa Hara, Hiroto Kurita, Masaaki Imaizumi, Kentaro Inui, Sho Yokoi ยท 2026

For constructing text embeddings, mean pooling, which averages token embeddings, is the standard approach. This paper examines whether mean pooling actually works well in real models. First, we note tโ€ฆ

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Physics Preprint PDF DOI

Self-consistent modelling and qualitative comparison of mildly relativistic runaway electron dynamics with a closed flux surface formation model during tokamak startup

Y. Lee, H.-T. Kim, P.C. de Vries, P. Aleynikov, J. Lee, K. Park, T. Park, J. Gwak, G. Nam, W. I. Jeong, K.-D. Lee, J.-G. Bak, J. Jang, J.-W. Juhn, Y.-S. Lee, J.-K. Park, Y.-S. Na ยท 2026

A model for mildly relativistic Runaway Electrons (REs) is developed in a reduced-kinetic form and qualitatively compared with radiation characteristics observed in KSTAR ohmic startup. The mildly relโ€ฆ

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AI & Data Science Preprint PDF DOI

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts

Bingli Wang, Huanze Tang, Haijun Lv, Zhishan Lin, Lixin Gu, Lei Feng, Qipeng Guo, Kai Chen ยท 2026

In recent years, Multimodal Large Language Models (MLLMs) have achieved remarkable progress on a wide range of multimodal benchmarks. Despite these advances, most existing benchmarks mainly focus on sโ€ฆ

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Physics Preprint PDF DOI

Intermediate-state Coulomb-corrected strong-field approximation for rescattering processes

Chunli Miao, Jiarui Qin, Chan Li, Xiaolei Hao, Weidong Li, Jing Chen ยท 2026

We analytically derive the all-order strong-field S-matrix series incorporating intermediate-state Coulomb-Volkov corrections (ICSFA). Focusing on rescattering processes described by the second-order โ€ฆ

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Computer Science Preprint PDF DOI

RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write

Yan-Cheng Guo, Tian-Sheuan Chang, Jian-Wei Su ยท 2026

Digital computing-in-memory (DCIM) has emerged as a promising solution for large language model (LLM) acceleration by minimizing data transfers between external DRAM and on-chip accelerators while maiโ€ฆ

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Mathematics Preprint PDF DOI

Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents

Connor S. Braun, Sina Sanjari, Naci Saldi, Gunnar Blohm, Serdar Yuksel ยท 2026

Across science and engineering, mean-field methods have been a powerful and versatile approach for the analysis of systems of many interacting elements. However, common arguments used to characterize โ€ฆ

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Physics Preprint PDF DOI

Bound-State Resonances of Schwarzschild-de Sitter Black Holes: Analytic Treatment

Qi-Dong Chen, Chong-Bin Chen, Guo-Qing Huang, Fu-Wen Shu, Tieguang Zi ยท 2026

Inspired by Mashhoon's framework connecting black hole quasi-normal modes (QNMs) to bound-state resonances in inverted potentials, V$\ddot{\text{o}}$lkel's recent numerical analysis of asymptotically โ€ฆ

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou ยท 2026

This paper investigates the continuous-time counterpart of the Q-function for entropy-regularized mean-field control (MFC) with controlled common noise, coined as q-function by Jia and Zhou (2023) in โ€ฆ

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AI & Data Science Preprint PDF DOI

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering

Peifu Liu, Tingfa Xu, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li ยท 2026

Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction: clustering aggregateโ€ฆ

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Physics Preprint PDF DOI

Constructing Bulk Topological Orders via Layered Gauging

Shang Liu ยท 2026

Understanding quantum phases and phase transitions in the presence of symmetries is a central objective of quantum many-body physics. A powerful modern paradigm for investigating this problem is topolโ€ฆ

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AI & Data Science Preprint PDF DOI

CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling

Yingrui Wu, Youkang Kong, Mingyang Zhao, Weize Quan, Dong-Ming Yan, Yang Liu ยท 2026

Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic consistency. Existinโ€ฆ

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AI & Data Science Preprint PDF DOI

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

Jialu Liu, Yue Cui, Shan Yu ยท 2026

Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular disease management but remains challenging due to complex vascular topology and variable morphology. Existโ€ฆ

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Mathematics Preprint PDF DOI

Over-Approximating Minimizer Sets of Constrained Convex Programs with Parametric Uncertainty via Reachability Analysis

Brendan Gould, Chih-Yuan Chiu, Antoine P. Leeman, Kyriakos G. Vamvoudakis, Samuel Coogan, Glen Chou ยท 2026

We study the set of solutions to a parameterized, strongly convex optimization problem whose cost depends on uncertain, bounded parameters. We compute a certified outer approximation of the correspondโ€ฆ

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AI & Data Science Preprint PDF DOI

Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion

Yabo Luo, Xiaoyun Wang, Cunrong Li ยท 2026

Gait recognition has emerged as a compelling biometric modality for surveillance and security applications, offering inherent advantages such as non-intrusiveness, resistance to disguise, and long-ranโ€ฆ

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Engineering Preprint PDF DOI

Array Zooming Optimization for Near-Field Localization With Movable Antennas

Yuxin Duan, Boyu Teng, Xiaojun Yuan, Rui Wang ยท 2026

The emergence of movable antenna (MA) technology provides a promising way to enhance wireless sensing and communication by introducing spatial degrees of freedom through dynamic array reconfiguration.โ€ฆ

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Computer Science Preprint PDF DOI

Multi-element Persuasion in Social Media Health Communication: Synergistic and Trade-off Effects

Weifeng Zhang, Jipeng Tan, Mengye Yang, Yong Min ยท 2026

Health messages on social media are typically constructed through combinations of source cues, appeals, frames, and evidence, which jointly shape communication and persuasive effects. However, prior rโ€ฆ

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