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AI & Data Science Preprint PDF DOI

Representation Fr\'echet Loss for Visual Generation

Jiawei Yang, Zhengyang Geng, Xuan Ju, Yonglong Tian, Yue Wang · 2026

We show that Fr\'echet Distance (FD), long considered impractical as a training objective, can in fact be effectively optimized in the representation space. Our idea is simple: decouple the population…

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Computer Science Preprint PDF DOI

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews · 2026

In a wireless network, the spatial location of the transmitters has a large impact on the achievable rate at each user location. The optimal placement of -- for example -- cellular base stations is a …

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Computer Science Preprint PDF DOI

Index-Assisted Stratified Sampling for Online Aggregation

Yunnan Yu, Zhuoyue Zhao · 2026

Ad-hoc queries over frequently updated data in a flat schema are common in real-time data analysis applications and often require very low latency. Online aggregation can achieve so by providing appro…

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AI & Data Science Preprint PDF DOI

Beyond Pixel Fidelity: Minimizing Perceptual Distortion and Color Bias in Night Photography Rendering

Furkan K{i}nl{i} · 2026

Night Photography Rendering (NPR) poses a significant challenge due to the extreme contrast between dark and illuminated areas in scenes, stemming from concurrent capture of severely dark regions alon…

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Economics & Finance Preprint PDF DOI

Measuring the risk or reducing it, that is the question: is risk measurement necessary for risk reduction?

Pierpaolo Uberti · 2026

In this research, starting from a widely accepted definition of risk, we support the idea that risk reduction is a more realistic objective than risk minimization, which represents a theoretical utopi…

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AI & Data Science Preprint PDF DOI

Kernel-based independence and mean independence tests for weakly dependent data

Daniel Diz-Castro, Manuel Febrero-Bande, Wenceslao Gonzalez-Manteiga · 2026

We provide a unified framework for independence and mean independence tests based on the Hilbert-Schmidt independence criterion, extending some previous results in the literature to hold in general to…

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Physics Preprint PDF DOI

Radio Frequency Field-Induced Enhancement of Detection Sensitivity in Silicon Nanowire Sensors

Ang Liu, Jingsong Shang, Jiangang J. Du, Shyamsunder Erramilli, Pritiraj Mohanty · 2026

Sensitive biomarker detection in physiological fluids is often limited by Debye screening, which suppresses electrostatic signals at sensor surfaces. Here we report a sensing approach based on flexoel…

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AI & Data Science Preprint PDF DOI

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

Ansar Aynetdinov, Patrick Haller, Alan Akbik · 2026

Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German,…

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AI & Data Science Preprint PDF DOI

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Shijin Gong, Kai Ye, Jin Zhu, Xinyu Zhang, Hongyi Zhou, Chengchun Shi · 2026

Recent advances in large language models (LLMs) have increasingly relied on reinforcement learning (RL) to improve their reasoning capabilities. Three approaches have been widely adopted: (i) Proximal…

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AI & Data Science Preprint PDF DOI

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning

Jingcheng Deng, Zihao Wei, Liang Pang, Junhong Wu, Shicheng Xu, Zenghao Duan, Huawei Shen · 2026

Latent reasoning offers a more efficient alternative to explicit reasoning by compressing intermediate reasoning into continuous representations and substantially shortening reasoning chains. However,…

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Physics Preprint PDF DOI

Discontinuous BBP transitions

Dario Bocchi, Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi · 2026

The Baik-Ben Arous-Peche (BBP) transition sets fundamental limits for detecting low-rank structure in noisy high-dimensional data and underlies a wide range of spectral methods in many fields from phy…

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Physics Preprint PDF DOI

Chiral Symmetry and Its Restoration in QCD

Teiji Kunihiro · 2026

Starting with describing the Dirac equation in an unconventional manner, we introduce the notion of chirality and show how chiralities are mixed in the massive Dirac particles.Then we discuss the appr…

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AI & Data Science Preprint PDF DOI

ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting

Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat, Dara Rahmati · 2026

Multivariate time series forecasting plays a pivotal role in numerous real-world applications, including financial analysis, energy management, and traffic planning. While Transformer-based architectu…

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Engineering Preprint PDF DOI

CRS-LLM: Cooperative Beam Prediction with a GPT-Style Backbone and Switch-Gated Fusion

Fangzhi Li, Cunhua Pan, Hong Ren, Dongming Wang, Jiangzhou Wang · 2026

Millimeter-wave (mmWave) communication depends on highly directional beamforming, while fast mobility, blockage, and rapid geometry changes in vehicle-to-everything (V2X) scenarios make beam tracking …

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AI & Data Science Preprint PDF DOI

DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models

Lifan Zheng, Xue Yang, Jiawei Chen, Chenyan Wu, Jingyuan Zhang, Fanheng Kong, Xinyi Zeng, Xiang Chen, Yu Tian · 2026

With the widespread adoption of large language models (LLMs), understanding their personality representation mechanisms has become critical. As a novel paradigm in Personality Editing, most existing m…

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AI & Data Science Preprint PDF DOI

Geometry-Calibrated Conformal Abstention for Language Models

Rui Xu, Yi Chen, Sihong Xie, Hui Xiong · 2026

When language models lack relevant knowledge for a given query, they frequently generate plausible responses that can be hallucinations, rather than admitting being agnostic about the answer. Retraini…

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Physics Preprint PDF DOI

Asteroseismic modelling of main-sequence solar-like stars and Kepler exoplanet host stars with the FICO procedure I. Catalogue of fundamental stellar properties

Jerome Betrisey, Daniel R. Reese, Camilla Pezzotti, Marie-Jo Goupil, Margarida S. Cunha · 2026

We present detailed asteroseismic modelling of 95 main-sequence solar-like stars and Kepler exoplanet host stars using the FICO procedure, a three-step method that combines forward and inverse techniq…

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AI & Data Science Preprint PDF DOI

Hyper-Dimensional Fingerprints as Molecular Representations

Jonas Teufel, Luca Torresi, Andre Eberhard, Pascal Friederich · 2026

Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose structural informat…

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AI & Data Science Preprint PDF DOI

Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions

Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery, Maarten Marsman · 2026

Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addressed through reversible…

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Physics Preprint PDF DOI

Robust AGN and host-galaxy decomposition in optical spectral fitting

C. Aydar, A. Merloni, G. Zeltyn, C. Andonie, B. Trakhtenbrot, S. Bernal, Q. Wu, J. Buchner, M. Salvato, T. Dwelly, S. F. Anderson, R. J. Assef, F. E. Bauer, W. N. Brandt, S. LaMassa, M. L. Martinez-Aldama, A. L. Rankine, D. P. Schneider, Y. Shen, J. R. Brownstein, H. Javier Ibarra-Medel, A. M. Koekemoer, M. Krumpe, S. Morrison, K. Nandra, C. A. Negrete Penaloza, S. F. Sanchez · 2026

Unraveling the growth of supermassive black holes and their connection to host galaxies requires disentangling the Active Galactic Nuclei (AGN) emission from that of the stellar populations. When an A…

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