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AI & Data Science Preprint PDF DOI

Multiple Additive Neural Networks for Structured and Unstructured Data

Janis Mohr, Jorg Frochte ยท 2026

This paper extends and explains the Multiple Additive Neural Networks (MANN) methodology, an enhancement to the traditional Gradient Boosting framework, utilizing nearly shallow neural networks insteaโ€ฆ

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AI & Data Science Preprint PDF DOI

From Skeletons to Pixels: Few-Shot Precise Event Spotting via Representation and Prediction Distillation

Zhong Han Ervin Yeoh, Jiang Kan ยท 2026

Precise Event Spotting (PES) is essential in fast-paced sports such as tennis, where fine-grained events occur within very short temporal windows. Accurate frame-level localization is challenging becaโ€ฆ

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Mathematics Preprint PDF DOI

The Magnitude of Dominated Sets: A Pareto Compliant Indicator Grounded in Metric Geometry

Michael T.M. Emmerich ยท 2026

We investigate \emph{magnitude} as a new unary and strictly Pareto-compliant quality indicator for finite approximation sets to the Pareto front in multiobjective optimization. Magnitude originates inโ€ฆ

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AI & Data Science Preprint PDF DOI

Deep Ranking with Heterogeneous Effects

Yuanhang Luo, Shuxing Fang, Ruijian Han, Yiming Xu ยท 2026

Classical latent-score ranking models often fail to distinguish objects' intrinsic scores from contextual effects, which are typically nonlinear and can dominate the observed outcomes. To address thisโ€ฆ

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Engineering Preprint PDF DOI

Learning Racket-Ball Bounce Dynamics Across Diverse Rubbers for Robotic Table Tennis

Thomas Gossard ยท 2026

Accurate dynamic models for racket-ball bounces are essential for reliable control in robotic table tennis. Existing models typically assume simple linear models and are restricted to inverted rubbersโ€ฆ

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Physics Preprint PDF DOI

Tennis-racket instability of twisted electrons

S.S. Baturin ยท 2026

We demonstrate that a weak nonlinear magnetic entrance edge induces a tennis-racket (Dzhanibekov) instability in the shell-resolved orbital pseudospin dynamics of twisted electrons propagating in a noโ€ฆ

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Engineering Preprint PDF DOI

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots

Ziqi Wang, Jingyue Zhao, Xun Xiao, Jichao Yang, Yaohua Wang, Shi Xu, Lei Wang, Huadong Dai ยท 2026

Perception and decision-making in high-speed dynamic scenarios remain challenging for current robots. In contrast, humans and animals can rapidly perceive and make decisions in such environments. Takiโ€ฆ

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Physics Preprint PDF DOI

Machine Learning Interatomic Potentials for Million-Atom Simulations of Multicomponent Alloys

Fei Shuang, Penghua Ying, Kai Liu, Zixiong Wei, Fengxian Liu, Zheyong Fan, Minqiang Jiang, Poulumi Dey ยท 2026

Machine learning interatomic potentials (MLIPs) with broad chemical flexibility are important for atomistic simulations of compositionally complex materials such as high-entropy alloys. Here, we studyโ€ฆ

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Engineering Preprint PDF DOI

SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision

Junli Ren, Yinghui Li, Kai Zhang, Penglin Fu, Haoran Jiang, Yixuan Pan, Guangjun Zeng, Tao Huang, Weizhong Guo, Peng Lu, Tianyu Li, Jingbo Wang, Li Chen, Hongyang Li, Ping Luo ยท 2026

Existing humanoid table tennis systems remain limited by their reliance on external sensing and their inability to achieve agile whole-body coordination for precise task execution. These limitations sโ€ฆ

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Computer Science Preprint PDF DOI

GRAB-ANNS: High-Throughput Indexing and Hybrid Search via GPU-Native Bucketing

Xinkui Zhao, Hengxuan Lou, Yifan Zhang, Junjie Dai, Shuiguang Deng, Jianwei Yin ยท 2026

Hybrid search, which jointly optimizes vector similarity and structured predicate filtering, has become a fundamental building block for modern AI-driven systems. While recent predicate-aware ANN indiโ€ฆ

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AI & Data Science Preprint PDF DOI

How good was my shot? Quantifying Player Skill Level in Table Tennis

Akihiro Kubota, Tomoya Hasegawa, Ryo Kawahara, Ko Nishino ยท 2026

Gauging an individual's skill level is crucial, as it inherently shapes their behavior. Quantifying skill, however, is challenging because it is latent to the observed actions. To explore skill undersโ€ฆ

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Physics Preprint PDF DOI

MadNIS at NLO

Giovanni De Crescenzo, Javier Marino Villadamigo, Nina Elmer, Theo Heimel, Tilman Plehn, Ramon Winterhalder, Marco Zaro ยท 2026

We combine fast amplitude surrogates with neural importance sampling to accelerate NLO calculations. For virtual corrections, a learned ratio to the Born matrix element with calibrated uncertainties gโ€ฆ

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Engineering Preprint PDF DOI

FASTER: Rethinking Real-Time Flow VLAs

Yuxiang Lu, Zhe Liu, Xianzhe Fan, Zhenya Yang, Jinghua Hou, Junyi Li, Kaixin Ding, Hengshuang Zhao ยท 2026

Real-time execution is crucial for deploying Vision-Language-Action (VLA) models in the physical world. Existing asynchronous inference methods primarily optimize trajectory smoothness, but neglect thโ€ฆ

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Mathematics Preprint PDF DOI

Equivariant localizing motives and multiplicative norms on algebraic K-theory

Kaif Hilman, Maxime Ramzi ยท 2026

We construct multiplicative norms on equivariant nonconnective algebraic $K$-theory for finite groups $G$. We also construct a genuine equivariant version of THH equipped with a Dennis trace map from โ€ฆ

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Engineering Preprint PDF DOI

CyboRacket: A Perception-to-Action Framework for Humanoid Racket Sports

Peng Ren, Chuan Qi, Haoyang Ge, Qiyuan Su, Xuguo He, Cong Huang, Pei Chi, Jiang Zhao, Kai Chen ยท 2026

Dynamic ball-interaction tasks remain challenging for robots because they require tight perception-action coupling under limited reaction time. This challenge is especially pronounced in humanoid rackโ€ฆ

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Physics Preprint PDF DOI

Quantum Dynamical Entropy and Dissipative Information Flows

Giovanni Nichele, Fabio Benatti ยท 2026

The Alicki-Lindblad-Fannes dynamical (ALF) entropy measures the rate at which new information is gathered about a quantum system by inspecting its long-time evolution. We propose an extension of the Aโ€ฆ

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Physics Preprint PDF DOI

Quantum Dynamical Entropy and non-Markovianity: a collisional model perspective

Giovanni Nichele, Fabio Benatti ยท 2026

Accessing the physical mechanisms behind non-Markovian phenomena in open quantum dynamics requires the study of the statistical properties of the joint system-environment dynamics. This is impossible โ€ฆ

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Engineering Preprint PDF DOI

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Zhikai Zhang, Haofei Lu, Yunrui Lian, Ziqing Chen, Yun Liu, Chenghuai Lin, Han Xue, Zicheng Zeng, Zekun Qi, Shaolin Zheng, Qing Luan, Jingbo Wang, Junliang Xing, He Wang, Li Yi ยท 2026

Human athletes demonstrate versatile and highly-dynamic tennis skills to successfully conduct competitive rallies with a high-speed tennis ball. However, reproducing such behaviors on humanoid robots โ€ฆ

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AI & Data Science Preprint PDF DOI

TennisExpert: Towards Expert-Level Analytical Sports Video Understanding

Zhaoyu Liu, Xi Weng, Lianyu Hu, Zhe Hou, Kan Jiang, Jin Song Dong, Yang Liu ยท 2026

Tennis is one of the most widely followed sports, generating extensive broadcast footage with strong potential for professional analysis, automated coaching, and real-time commentary. However, automatโ€ฆ

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AI & Data Science Preprint PDF DOI

Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports

Yuchen Yang, Yuqing Shao, Duxiu Huang, Linfeng Dong, Yifei Liu, Suixin Tang, Xiang Zhou, Yuanyuan Gao, Wei Wang, Yue Zhou, Xue Yang, Yanfeng Wang, Xiao Sun, Zhihang Zhong ยท 2026

Sports have long attracted broad attention as they push the limits of human physical and cognitive capabilities. Amid growing interest in spatial intelligence for vision-language models (VLMs), sportsโ€ฆ

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