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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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Computer Science Preprint PDF DOI

lpviz: Interactive Linear Programming Visualization

Evan Grand, Michael Klamkin · 2026

This paper presents lpviz, a browser-based visualization tool for linear programming. lpviz is deeply interactive, offering an intuitive interface where users can directly draw and edit the feasible r…

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AI & Data Science Preprint PDF DOI

Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation

Jon-Paul Cacioli · 2026

We adapted the Reliable Change Index (RCI; Jacobson and Truax, 1991) from clinical psychology to item-level LLM version comparison on 2,000 MMLU-Pro items (K=10 samples at T=0.7). Two within-family pa…

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AI & Data Science Preprint PDF DOI

Instruction Complexity Induces Positional Collapse in Adversarial LLM Evaluation

Jon-Paul Cacioli · 2026

When instructed to underperform on multiple-choice evaluations, do language models engage with question content or fall back on positional shortcuts? We map the boundary between these regimes using a …

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Physics Preprint PDF DOI

Formulating Subgroup Discovery as a Quantum Optimization Problem for Network Security

Samuel Spell, Chi-Ren Shyu · 2026

While current network intrusion detection systems achieve satisfactory accuracy, they often lack explainability. Subgroup Discovery (SD) addresses this by building interpretable rules that characteriz…

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AI & Data Science Preprint PDF DOI

Select to Think: Unlocking SLM Potential with Local Sufficiency

Wenxuan Ye, Yangyang Zhang, Xueli An, Georg Carle, Yunpu Ma · 2026

Small language models (SLMs) offer computational efficiency for scalable deployment, yet they often fall short of the reasoning power exhibited by their larger counterparts (LLMs). To mitigate this ga…

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Engineering Preprint PDF DOI

Spectral Boundary Observer for Counter-Flow Heat Exchangers

Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant · 2026

We consider a system of two coupled first-order linear hyperbolic partial differential equations modeling heat transport in a counter-flow heat exchanger: one equation describes the transport of a hot…

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Physics Preprint PDF DOI

Conditional diffusion denoising probabilistic model for super-resolution of atmospheric boundary layer large eddy simulation

Omar Sallam, Mirjam Furth · 2026

Climate change necessitates rapid expansion of renewable energy, with wind energy offering a scalable and low-impact solution. However, accurate prediction of wind loads and power generation remains c…

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Physics Preprint PDF DOI

Towards Quantum Optimised Malware Containment

Matthew Sutcliffe, Ravindra Mutyamsetty · 2026

The containment of malware in computing networks may be naturally formulated as a network influence minimisation problem, in which one seeks to limit the expected spread of an infection while balancin…

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Physics Preprint PDF DOI

Hardware-Efficient Hamiltonian Simulation via Trotter-Initialized Variational Optimization with Native Placement

F. S. Luiz, P. N. Ferreira, M. C. de Oliveira · 2026

Compiling time-evolution operators of the form $U(t)=e^{-iHt}$ into hardware-native gate sequences is a central bottleneck for digital quantum simulation on noisy intermediate-scale quantum (NISQ) dev…

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Physics Preprint PDF DOI

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence

Sunan Zhao, Yunpeng Wang, Huiyu Yang, Zhihong Guo, Jianchun Wang · 2026

Accurate and efficient prediction of three-dimensional (3D) wall-bounded turbulent flows poses a significant challenge for machine learning methods, particularly in scenarios where flow field data are…

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AI & Data Science Preprint PDF DOI

AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision

Xiaoya Cheng, Rouwan Wu, Xinyi Liu, Zeyu Cui, Yan Liu, Na Zhao, Yu Liu, Maojun Zhang, Shen Yan · 2026

Despite the rapid progress in data-driven 3D vision, aerial geometric 3D vision remains a formidable challenge due to the severe scarcity of large-scale, high-fidelity training data. Existing benchmar…

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AI & Data Science Preprint PDF DOI

CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

Fengchun Zhang, Qiang Ma, Liuyu Xiang, Jinshan Lai, Tingxuan Huang, Jianwei Hu · 2026

Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can gener…

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Mathematics Preprint PDF DOI

A Second-Order Maximum-Principle-Preserving Crouzeix-Raviart Finite Element Method for Time-dependent Transport Equation

Shipeng Mao, Mingyang Zhang · 2026

In this paper, we construct an explicit, second-order, and maximum-principle-preserving Crouzeix-Raviart (CR) finite element method for two-dimensional time-dependent transport equation. The key obser…

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AI & Data Science Preprint PDF DOI

Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Making

Abhirami Pillai · 2026

Treatment allocation under budget constraints is a central challenge in digital advertising: advertisers must decide which users to show ads to while spending a limited budget wisely. The standard app…

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford · 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying dist…

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Computer Science Preprint PDF DOI

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference

Shouxu Lin, Zhiyuan Guo, Jiaxin Lin · 2026

LLM inference is constrained by GPU memory capacity and bandwidth. Tiered memory architectures mitigate this by allowing the GPU to offload memory to the remote tier. However, existing memory offloadi…

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Mathematics Preprint PDF DOI

On weak greedy algorithms

A.S. Spivak, V.N. Temlyakov · 2026

The main goal of this paper is twofold. First, we extend some results known in the case of weak greedy algorithms with a scalar parameter to the case of weak greedy algorithms with a weakness sequence…

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AI & Data Science Preprint PDF DOI

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions

An Nguyen, Hoang Nguyen, Phuong Le, Hung Pham, Cuong Do, Laurent El Ghaoui · 2026

We study city-scale control of electric-vehicle (EV) ride-hailing fleets where dispatch, repositioning, and charging decisions must respect charger and feeder limits under uncertain, spatially correla…

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Physics Preprint PDF DOI

Discovery of Sparse Invariant Subgrid-Scale Closures via Dissipation-Controlled Training for Large Eddy Simulation on Anisotropic Grids

Samantha Friess, Aviral Prakash, John A. Evans · 2026

Neural networks offer highly expressive turbulence closures, yet their complexity obscures the physical mechanisms they aim to model, and their computational cost can limit their tractability. To addr…

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