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AI & Data Science Preprint PDF DOI

An adaptive wavelet-based PINN for problems with localized high-magnitude source

Himanshu Pandey, Ratikanta Behera · 2026

In recent years, physics-informed neural networks (PINNs) have gained significant attention for solving differential equations, although they suffer from two fundamental limitations, namely, spectral …

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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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Earth & Environmental Sciences Preprint PDF DOI

The Influences of Hydrogen-Silicate-Iron Miscibility on the Demographics of Sub-Neptunes and Super-Earths

Edward D. Young, Aaron Werlen · 2026

Models based on variable miscibility among hydrogen, molten silicate, and molten iron, coupled with atmospheric escape, can reproduce the observed occurrence density structure of sub-Neptunes and supe…

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Computer Science Preprint PDF DOI

Perfectly Private Over-the-Air Computation

Shudi Weng, Ming Xiao, Mikael Skoglund · 2026

This paper studies a key research question: how to achieve perfect privacy in over-the-air computation (AirComp)? The problem is particularly intriguing due to a dilemma. Real-field operations can ens…

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AI & Data Science Preprint PDF DOI

Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection

Shuchang Zhou, Shangkun Wu, Jiwei Wei, Ke Liu, Ran Ran, Caiyan Qin, Yang Yang · 2026

AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich semantic representati…

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Computer Science Preprint PDF DOI

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains

Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E · 2026

Although precise recall is a core objective in Retrieval-Augmented Generation (RAG), a critical oversight persists in the field: improvements in retrieval performance do not consistently translate to …

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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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Physics Preprint PDF DOI

TESS Asteroseismology of Red Giants in the Old Metal-Rich Open Clusters NGC 188 & NGC 6791

Madeline Howell, Jennifer A. Johnson, Marc H. Pinsonneault, Leslie M. Morales, Jamie Tayar, John D. Roberts, Dennis Stello, Madeleine McKenzie · 2026

Open clusters are fundamental laboratories for investigating stellar and Galactic evolution, and serve as important benchmarks for asteroseismic analyses. Using a boutique method to analyze TESS photo…

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AI & Data Science Preprint PDF DOI

Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction

Mehryar Mohri, Yutao Zhong · 2026

The choice of loss function in classification involves a fundamental trade-off: smooth losses (like Cross-Entropy) enable fast optimization rates but yield slow square-root consistency bounds, while p…

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Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

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Mathematics Preprint PDF DOI

Monodromy action of mirror stops for toric Calabi-Yau surfaces

Michela Barbieri, Andrew Hanlon, Jeff Hicks · 2026

Mirror symmetry predicts an action by the fundamental group of a conjectural stringy K\"ahler moduli space on the derived category of an algebraic variety. For a toric variety, a model for this space …

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AI & Data Science Preprint PDF DOI

World2Minecraft: Occupancy-Driven Simulated Scenes Construction

Lechao Zhang, Haoran Xu, Jingyu Gong, Xuhong Wang, Yuan Xie, Xin Tan · 2026

Embodied intelligence requires high-fidelity simulation environments to support perception and decision-making, yet existing platforms often suffer from data contamination and limited flexibility. To …

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AI & Data Science Preprint PDF DOI

SpatialGrammar: A Domain-Specific Language for LLM-Based 3D Indoor Scene Generation

Song Tang, Kaiyong Zhao, Yuliang Li, Qingsong Yan, Penglei Sun, Junyi Zou, Qiang Wang, Xiaowen Chu · 2026

Automatically generating interactive 3D indoor scenes from natural language is crucial for virtual reality, gaming, and embodied AI. However, existing LLM-based approaches often suffer from spatial er…

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AI & Data Science Preprint PDF DOI

Low Rank Adaptation for Adversarial Perturbation

Han Liu, Shanghao Shi, Yevgeniy Vorobeychik, Chongjie Zhang, Ning Zhang · 2026

Low-Rank Adaptation (LoRA), which leverages the insight that model updates typically reside in a low-dimensional space, has significantly improved the training efficiency of Large Language Models (LLM…

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AI & Data Science Preprint PDF DOI

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion

Yonghao Liu, Jialu Sun, Wei Pang, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan · 2026

Graph few-shot learning, which focuses on effectively learning from only a small number of labeled nodes to quickly adapt to new tasks, has garnered significant research attention. Despite recent adva…

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AI & Data Science Preprint PDF DOI

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space

Gabe Guo, Thanawat Sornwanee, Lutong Hao, Elon Litman, Stefano Ermon, Jose Blanchet · 2026

Generating continuous-time, continuous-space stochastic processes (e.g., videos, weather forecasts) conditioned on partial observations (e.g., first and last frames) is a fundamental challenge. Existi…

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AI & Data Science Preprint PDF DOI

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

Jialu Liu, Yue Cui, Shan Yu · 2026

Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular disease management but remains challenging due to complex vascular topology and variable morphology. Exist…

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Engineering Preprint PDF DOI

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

Tengya Zhang, Feng Gao, Lin Qi, Junyu Dong, Qian Du · 2026

Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limited…

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AI & Data Science Preprint PDF DOI

YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal

Chenyang Wu, Lina Lei, Fan Li, Chun-Le Guo, Dehong Kong, Xinran Qin, Zhixin Wang, Ming-Ming Cheng, Chongyi Li · 2026

Recent advances in Diffusion Transformer (DiT)-based video generation technologies have shown impressive results for video object removal. However, these methods still suffer from substantial inferenc…

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AI & Data Science Preprint PDF DOI

AutoSurfer -- Teaching Web Agents through Comprehensive Surfing, Learning, and Modeling

Fazle Elahi Faisal, Qianhui Wu, Baolin Peng, Jianfeng Gao · 2026

Recent advances in multimodal large language models (LLMs) have revolutionized web agents that can automate complex tasks on websites. However, their accuracy remains limited by the scarcity of high-q…

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