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AI & Data Science Preprint PDF DOI

HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos

Xu Lu, Qianhong Peng, Qihao Zhou, Shaopeng Liu, Xiuqin Ye, Chuan Yang, Yuan Yuan ยท 2026

Transrectal ultrasound (TRUS) imaging is a cost-effective and non-invasive modality widely used in the diagnosis of prostate cancer. The computer-aided diagnosis (CAD) relying on TRUS images has been โ€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

Selective Contrastive Learning For Gloss Free Sign Language Translation

Changhao Lai, Rui Zhao, Xuewen Zhong, Jinsong Su, Yidong Chen ยท 2026

Sign language translation (SLT) converts continuous sign videos into spoken-language text, yet it remains challenging due to the intrinsic modality mismatch between visual signs and written text, partโ€ฆ

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AI & Data Science Preprint PDF DOI

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions

Kang Liu, Jianchen Hu ยท 2026

Classical ReLU-based Input Convex Neural Networks (ICNNs) are equivalent to the optimal value functions of Linear Programming (LP). This intrinsic structural equivalence restricts their representationโ€ฆ

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AI & Data Science Preprint PDF DOI

One Shot Learning for Edge Detection on Point Clouds

Zhikun Tu, Yuhe Zhang, Yiou Jia, Kang Li, Daniel Cohen-Or ยท 2026

Each scanner possesses its unique characteristics and exhibits its distinct sampling error distribution. Training a network on a dataset that includes data collected from different scanners is less efโ€ฆ

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Physics Preprint PDF DOI

Four-dimensional QCD equation of state from a quasi-parton model with physics-informed neural networks

Fu-Peng Li, Long-Gang Pang, Guang-You Qin ยท 2026

The equation of state (EoS) of strongly interacting matter at finite temperature and chemical potentials (baryon, charge, and strangeness) is a crucial input for hydrodynamic simulations of relativistโ€ฆ

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AI & Data Science Preprint PDF DOI

PoseFM: Relative Camera Pose Estimation Through Flow Matching

Dominik Kuczkowski, Laura Ruotsalainen ยท 2026

Monocular visual odometry (VO) is a fundamental computer vision problem with applications in autonomous navigation, augmented reality and more. While deep learning-based methods have recently shown suโ€ฆ

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Physics Preprint PDF DOI

Dynamic Moir\'e Potentials and Robust Wigner Crystallization in Large-Scale Twisted Transition Metal Dichalcogenides

Yifan Ke, Chuanjing Zeng, Xinming Qin, Wei-Lin Tu, Wei Hu, Jinglong Yang ยท 2026

Understanding the dynamical evolution of large-scale moir\'e systems is crucial for connecting theoretical predictions with experimental observations. Here we develop a machine-learning-based workflowโ€ฆ

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Mathematics Preprint PDF DOI

Stacking and clearing in graph pebbling

Tamas Csernak, Lajos Soukup ยท 2026

Suppose that pebbles are distributed on the vertices of a graph G. A pebbling step along an edge uv removes two pebbles from u and places one pebble on v. We introduce two new graph parameters: stโ€ฆ

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Engineering Preprint PDF DOI

Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission

Ming Ye, Kui Cai, Cunhua Pan, Zhen Mei, Wanting Yang, Chunguo Li ยท 2026

Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (DL)-based joint source-channel coding (JSCC) schemes to reduce computational complexity. However, a sโ€ฆ

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Physics Preprint PDF DOI

Confronting Color Glass Condensate at next-to-leading order with HERA data

Carlisle Casuga, Heikki Mantysaari ยท 2026

We perform a global analysis of HERA total inclusive cross section and charm quark production data to extract the non-perturbative initial condition for the next-to-leading order Balitsky-Kovchegov (Bโ€ฆ

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AI & Data Science Preprint PDF DOI

FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

Marco Obermeier, Marco Pruckner, Florian Haselbeck, Andreas Zeiselmair ยท 2026

Driven by the transition towards a climate-neutral energy system, accurate energy time series forecasting is critical for planning and operation. Yet, it remains largely a dataset-specific task, requiโ€ฆ

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Engineering Preprint PDF DOI

Multi-robot obstacle-aware shepherding of non-cohesive target agents

Cinzia Tomaselli, Stefano Covone, Andreagiovanni Reina, Mario di Bernardo ยท 2026

This paper presents a novel control strategy for multi-agent shepherding of non-cohesive targets in obstacle-rich environments. Unlike previous approaches that assume cohesive flocking behavior, our mโ€ฆ

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Computer Science Preprint PDF DOI

Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics

Mengyi Wei, Chenyu Zuo, Dongsheng Chen, Liqiu Meng ยท 2026

Public awareness of AI ethics plays a crucial role in fostering the responsible and sustainable development of AI technology. However, finding effective ways to promote public understanding of the ethโ€ฆ

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Computer Science Preprint PDF DOI

Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations

Maximilian Wachter, Sebastian Murgul, Michael Heizmann ยท 2026

Rhythm transcription is a key subtask of notation-level Automatic Music Transcription (AMT). While deep learning models have been extensively used for detecting the metrical grid in audio and MIDI perโ€ฆ

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AI & Data Science Preprint PDF DOI

NeuroAPS-Net: Neuro-Anatomically Aware Point Cloud Representation for Efficient Alzheimer's Disease Classification

Towhidul Islam, Mufti Mahmud ยท 2026

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and a major cause of dementia. Structural MRI is widely used to analyze AD-related brain atrophy; however, most deep learning methoโ€ฆ

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AI & Data Science Preprint PDF DOI

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings

Peixi Wu, Ke Mei, Feipeng Ma, Bosong Chai, Zhibin Lan, Chenxi Zhao, Shannan Yan, Jie Chen, Zhangchi Hu, Yansong Peng, Bo Lin, Junjie Zhou, Dacheng Yin, Tianyi Wang, Fengyun Rao, Jing Lyu, Hebei Li, Xiaoyan Sun ยท 2026

Multimodal Large Language Models (MLLMs) have emerged as a promising foundation for universal multimodal embeddings. Recent studies have shown that reasoning-driven generative multimodal embeddings caโ€ฆ

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Neuroscience Preprint PDF DOI

Early Preconfiguration Failure: A Novel Predictor of the Repetitive Subconcussion

Jiajia Li, Zhenzhen Yu, Zhenghao Fu, Guozheng Xu, Jian Song ยท 2026

Early diagnosis and assessment of repetitive subconcussive (rSC) brain injuries are crucial for early clinical intervention. Conventional methods, largely relying on slow fMRI, fail to capture milliseโ€ฆ

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AI & Data Science Preprint PDF DOI

CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation

Suiyang Guang, Chenyu Liu, Ruohan Zhang, Siyuan Chen ยท 2026

Open-vocabulary scene graph generation (SGG) aims to describe visual scenes with flexible and fine-grained relation phrases beyond a fixed predicate vocabulary. While recent vision-language models greโ€ฆ

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Engineering Preprint PDF DOI

Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems

Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala, Jean-Baptiste Bouvier, Negar Mehr ยท 2026

Ensuring safety for black-box hybrid dynamical systems presents significant challenges due to their instantaneous state jumps and unknown explicit nonlinear dynamics. Existing solutions for strict safโ€ฆ

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