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Physics Preprint PDF DOI

A Novel Hierarchy of Quantum Kernel Networks on Smoothed Particle Hydrodynamics

Yudong Li, Wenkui Shi, Chunfa Wang, Zhihao Qian, Zhiqiang Feng, Moubin Liu ยท 2026

Currently, quantum computing and artificial intelligence are driving revolutionary advancements in computational science. This study pioneers the integration of quantum kernel networks on smoothed parโ€ฆ

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AI & Data Science Preprint PDF DOI

Progressive Approximation in Deep Residual Networks: Theory and Validation

Wei Wang, Xiao-Yong Wei, Qing Li ยท 2026

The Universal Approximation Theorem (UAT) guarantees universal function approximation but does not explain how residual models distribute approximation across layers. We reframe residual networks as aโ€ฆ

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AI & Data Science Preprint PDF DOI

Nautile-370M: Spectral Memory Meets Attention in a Small Reasoning Model

Maixent Chenebaux ยท 2026

We present Nautile-370M, a 371-million-parameter small language model designed for efficient reasoning under strict parameter and inference budgets. Nautile-370M uses a hybrid backbone in which two Seโ€ฆ

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AI & Data Science Preprint PDF DOI

EXACT: an explainable anomaly-aware vision foundation model for analysis of 3D chest CT

Xuguang Bai, Mingxuan Liu, Tongxi Song, Yifei Chen, Hongjia Yang, Kasidit Anmahapong, Zihan Li, Ying Zhou, Qiyuan Tian ยท 2026

Chest computed tomography (CT) is central to the detection and management of thoracic disease, yet the growing scale and complexity of volumetric imaging increasingly exceed what can be addressed by sโ€ฆ

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AI & Data Science Preprint PDF DOI

Machine-Learning-Based Classification of Radio Frequency Building Loss

Jiayi Tan, Neelabhro Roy, James Gross, Rohit Chandra, Tsao-Tsen Chen ยท 2026

Accurate modeling of outdoor-to-indoor (O2I) and indoor-to-indoor (I2I) signal loss is important for improving indoor wireless network performance in dense urban areas. Traditional on-site measurementโ€ฆ

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AI & Data Science Preprint PDF DOI

Leveraging Human Feedback for Semantically-Relevant Skill Discovery

Maxence Hussonnois, Thommen George Karimpanal, Santu Rana ยท 2026

Unsupervised skill discovery in reinforcement learning aims to intrinsically motivate agents to discover diverse and useful behaviours. However, unconstrained approaches can produce unsafe, unethical,โ€ฆ

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AI & Data Science Preprint PDF DOI

Psychologically-Grounded Graph Modeling for Interpretable Depression Detection

Rishitej Reddy Vyalla, Kritarth Prasad, Avinash Anand, Erik Cambria, Shaoxiong Ji, Faten S. Alamri, Zhengkui Wang ยท 2026

Automatic depression detection from conversational interactions holds significant promise for scalable screening but remains hindered by severe data scarcity and a lack of clinical interpretability. Eโ€ฆ

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AI & Data Science Preprint PDF DOI

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations

Yifeng Bai, Zhirong Chen, Erkang Cheng, Haibin Ling ยท 2026

Topology reasoning is crucial for autonomous driving. Current methods primarily focus on instance-level learning for centerline detection, followed by a sequential module for topology reasoning that rโ€ฆ

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AI & Data Science Preprint PDF DOI

An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources

Moritz Link, Jonathan Hoss, Noah Klarmann ยท 2026

Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged aโ€ฆ

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AI & Data Science Preprint PDF DOI

ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring

Iizalaarab Elhaimeur, Nikos Chrisochoides ยท 2026

Large language model tutors are easy to build in a notebook and hard to run in a real course. We describe ITAS (Intelligent Teaching Assistant System), a multi-agent tutoring system that a graduate quโ€ฆ

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Computer Science Preprint PDF DOI

Closing the Loop: A Software Framework for AI to Support Business Decision Making

Jeffrey Wong, Antoine Creux ยท 2026

Create an idea, prototype it, evaluate if users like it, then learn. It is the circle of business. If AI can operate in all parts of the circle, it will enable rapid iteration and learning speeds for โ€ฆ

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AI & Data Science Preprint PDF DOI

IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning

Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand, Chhavi Kirtani, Erik Cambria, Zhengchen Zhang, Zhengkui Wang, Timothy Liu, Aik Beng Ng, Simon See, Rajiv Ratn Shah ยท 2026

Curriculum learning helps language models tackle complex reasoning by gradually increasing task difficulty. However, it often fails to generate consistent step-by-step reasoning, especially in multiliโ€ฆ

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AI & Data Science Preprint PDF DOI

SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?

Yichi Zhang, Le Xue, Bichun Xu, Judong Luo, Zhigang Wu, Yu Fu, Zixin Hu, Yuan Cheng, Yuan Qi ยท 2026

Semi-supervised learning (SSL) has become a promising solution to alleviate the annotation burden of deep learning-based medical image segmentation models. While recent advances in foundation model-drโ€ฆ

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AI & Data Science Preprint PDF DOI

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

Huaicheng Li, Junhui Zhao, Haoyu Quan, Xiaoming Wang ยท 2026

Federated learning (FL) offers a promising distributed learning paradigm for internet of vehicles (IoV) applications. However, it faces challenges from communication overhead and dynamic environments.โ€ฆ

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AI & Data Science Preprint PDF DOI

SemML 2.0: Synthesizing Controllers for LTL

Jan Kretinsky, Tobias Meggendorfer, Maximilian Prokop ยท 2026

Synthesizing a reactive system from specifications given in linear temporal logic (LTL) is a classical problem, finding its applications in safety-critical systems design. These systems are typically โ€ฆ

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Physics Preprint PDF DOI

Single-copy stabilizer learning: average case and worst case

Gyungmin Cho, Dohun Kim ยท 2026

We study single-copy stabilizer learning, the problem of identifying a stabilizer group of dimension $n-t$ from an $n$-qubit quantum state $\rho$. We obtain two complementary results. First, in the avโ€ฆ

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Computer Science Preprint PDF DOI

Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

Liang Guo, Ge Song, Litao Deng, Jianhui Sun, Chufeng Hu, Lu Zhang, Zhen Ma, Shouwei Chen, Weiran Liu, Sarang Masti Sreeshylan, Xiaoxuan Meng ยท 2026

Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the frontier toward ultra-long User Interaction History (UIH). However, the industry-standard "Fat โ€ฆ

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AI & Data Science Preprint PDF DOI

Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification

June-Woo Kim, Miika Toikkanen, Heejoon Koo, Yoon Tae Kim, Doyoung Kwon, Kyunghoon Kim ยท 2026

Training reliable respiratory sound classification models remains challenging due to the limited size and subject diversity of datasets. Ensemble methods can improve robustness, but when base models aโ€ฆ

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Computer Science Preprint PDF DOI

Learning is Revelation in Disguise: Improved Regret and Equivalence Results for Dynamic Pricing

Shiliang Zuo ยท 2026

We study dynamic pricing where a seller repeatedly interacts with a strategic, non-myopic buyer who has a fixed private valuation and discounts future utility. Prior work focused exclusively on postedโ€ฆ

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AI & Data Science Preprint PDF DOI

minAction.net: Energy-First Neural Architecture Design -- From Biological Principles to Systematic Validation

Martin G. Frasch ยท 2026

Modern machine learning optimizes for accuracy without explicit treatment of internal computational cost, even though physical and biological systems operate under intrinsic energy constraints. We evaโ€ฆ

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