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Engineering Preprint PDF DOI

Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization

Wenxuan Xie, Yuelin Zhang, Qingpeng Ding, Jianghua Chen, Jiewen Tan, Jiwei Shan, Shing Shin Cheng ยท 2026

Wireless localization of permanent magnets enables occlusion-free guidance for medical interventions, yet its practical accuracy is fundamentally limited by two coupled challenges: the poor observabilโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Hybrid weather prediction using spectral nudging toward machine-learning forecasts

I. Polichtchouk, M. C. A. Clare, M. Chantry, E. Gascon, M. Maier-Gerber, B. Vanniere, S. Lang ยท 2026

A hybrid approach to numerical weather prediction is investigated, in which the unperturbed physics-based ECMWF Integrated Forecasting System (IFS) is spectrally nudged toward forecasts from a machineโ€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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Mathematics Preprint PDF DOI

Asymptotics of Multi-Scale McKean--Vlasov Diffusions with Super-Linear Kernels: a Lifted Semigroup Approach

Wei Hong, Shanshan Hu, Wei Liu, Shiyuan Yang ยท 2026

In this work, we establish the small-noise asymptotic behaviour (namely, the functional law of large numbers and the large deviation principle) for multi-scale McKean--Vlasov diffusions with super-linโ€ฆ

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AI & Data Science Preprint PDF DOI

Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain

Annika Batz, Pavel Klasek, Seo-Young Ham, Philipp Neumaier, Martin Koppel, Martin Lauer ยท 2026

Automated train operation on existing railway infrastructure requires robust camera-based perception, yet the railway domain lacks public benchmark suites with standardized evaluation protocols that wโ€ฆ

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Computer Science Preprint PDF DOI

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders

Wentao Shi, Qifan Wang, Chen Chen, Fei Liu, Dongfang Liu, Xu Liu, Wanli Ma, Junfeng Pan, Linhong Zhu, Fuli Feng ยท 2026

Reinforcement learning (RL) effectively optimizes Large Language Model (LLM)-based recommenders by contrasting positive and negative items. Empirically, training with beam-search negatives consistentlโ€ฆ

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AI & Data Science Preprint PDF DOI

Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs

Martin Colot, Cedric Simar, Guy Cheron, Ana Maria Cebolla Alvarez, Gianluca Bontempi ยท 2026

Continuous estimation of high-dimensional finger kinematics from forearm surface electromyography (EMG) could enable natural control for hand prostheses, AR/XR interfaces, and teleoperation. However, โ€ฆ

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AI & Data Science Preprint PDF DOI

Deep Learning for Model Calibration in Simulation of Itaconic Acid Production

Daria Fokina, Marco Baldan, Constantin Romankiewicz, Wolfgang Laudensack, Roland Ulber, Michael Bortz ยท 2026

In this study, deep learning is used to estimate kinetic parameters for modeling itaconic acid production based on real batch experiments conducted at different agitation speeds and reactor scales. Twโ€ฆ

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AI & Data Science Preprint PDF DOI

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet

Thibault Pautrel, Florent Bouchard, Ammar Mian, Guillaume Ginolhac ยท 2026

We introduce two federated learning frameworks for the classical SPDnet model operating on symmetric positive definite (SPD) matrices with Stiefel-constrained parameters. Unlike standard Euclidean aveโ€ฆ

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AI & Data Science Preprint PDF DOI

Improving Driver Drowsiness Detection via Personalized EAR/MAR Thresholds and CNN-Based Classification

Gokdeniz Ersoy, Mehmet Alper Tatar, Eray Tonbul, Serap K{i}rb{i}z ยท 2026

Driver drowsiness is a major cause of traffic accidents worldwide, posing a serious threat to public safety. Vision-based driver monitoring systems often rely on fixed Eye Aspect Ratio (EAR) and Mouthโ€ฆ

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Engineering Preprint PDF DOI

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models

Li Li, Ming Cheng, Weixin Zhu, Yannan Wang, Juan Liu, Ming Li ยท 2026

Multi-speaker automatic speech recognition (ASR) aims to transcribe conversational speech involving multiple speakers, requiring the model to capture not only what was said, but also who said it and sโ€ฆ

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Physics Preprint PDF DOI

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective

Andrea Addazi, Konstantin Belotsky, Vitaly Beylin, Timur Bikbaev, Deen Chen, Filippo Fabrocini, Stefano Giagu, Krid Jinklub, Artem Kharakhashyan, Maxim Khlopov, Vladimir Korchagin, Maxim Krasnov, Atharv Mahajan, Antonino Marciano, Andrey Mayorov, Antonio Morais, Roman Pasechnik, Jackson Levi Said, Danila Sopin, Viktor Stasenko, Oem Trivedi ยท 2026

The multi-messenger exploration of dark matter and physics beyond the Standard Model has emerged as a central direction in modern astro-particle physics, particularly following the discovery of gravitโ€ฆ

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AI & Data Science Preprint PDF DOI

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company

Zhengxu Yu, Yu Fu, Zhiyuan He, Yuxuan Huang, Lee Ka Yiu, Meng Fang, Weilin Luo, Jun Wang ยท 2026

Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed team structures, tightly coupled coordination logiโ€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

From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables

Zongyu Li ยท 2026

Latent variables pose a fundamental challenge to causal discovery and inference. Conventional local methods focus on direct neighbors but fail to provide macro level insights. Cluster level methods enโ€ฆ

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Mathematics Preprint PDF DOI

Computational Control of Nonlinear Partial Differential Equations Using Machine Learning

Maximilian Kurbanov, Minh-Nhat Phung, Minh-Binh Tran ยท 2026

The numerical reconstruction of controls for nonlinear partial differential equations remains a challenging and relatively underdeveloped problem, despite the extensive literature on control theory. Wโ€ฆ

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AI & Data Science Preprint PDF DOI

Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair

Yuelin Hu, Zhenbo Yu, Zhengxue Cheng, Wei Liu, Li Song ยท 2026

Many continual-learning methods modify gradients upstream (e.g., projection, penalty rescaling, replay mixing) while treating Adam as a neutral backend. We show this composition has a hidden failure mโ€ฆ

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AI & Data Science Preprint PDF DOI

StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery

A. Yermekov, D.A. Herrera-Marti ยท 2026

Feature selection in high-dimensional genomic data ($d \gg n$) demands methods that are simultaneously accurate, sparse, and stable. Existing approaches either require manual threshold specification (โ€ฆ

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AI & Data Science Preprint PDF DOI

Conformalized Super Learner

Zhanli Wu, Fabrizio Leisen, Miguel-Angel Luque-Fernandez, F. Javier Rubio ยท 2026

The Super Learner (SL) is a widely used ensemble method that combines predictions from a library of learners based on their predictive performance. Interval predictions are of considerable practical iโ€ฆ

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AI & Data Science Preprint PDF DOI

Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition

Shunpeng Chen, Yukun Song, Changwei Wang, Rongtao Xu, Kexue Fu, Longxiang Gao, Li Guo, Ruisheng Wang, Shibiao Xu ยท 2026

Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasing caused by irrelevaโ€ฆ

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