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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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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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AI & Data Science Preprint PDF DOI

AesRM: Improving Video Aesthetics with Expert-Level Feedback

Yujin Han, Yujie Wei, Yefei He, Xinyu Liu, Tianle Li, Zichao Yu, Andi Han, Shiwei Zhang, Tingyu Weng, Difan Zou · 2026

Despite rapid advances in photorealistic video generation, real-world applications such as filmmaking require video aesthetics, e.g., harmonious colors and cinematic lighting, beyond visual fidelity. …

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Physics Preprint PDF DOI

Local probing of superconductivity at oxide interfaces with atomic force microscopy

Dilek Yildiz, Sungmin Kim, Dengyu Yang, Muqing Yu, Kyoungjun Lee, Ruiqi Sun, En-Min Shih, Steven R. Blankenship, Patrick Irvin, Franz J. Giessibl, Chang-Beom Eom, Jeremy Levy, Joseph A. Stroscio · 2026

Superconductivity in strontium titanate has remained enigmatic for more than 50 years. The LaAlO$_3$/SrTiO$_3$ (LAO/STO) heterointerface enables systematic dimensional confinement, from a two-dimensio…

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AI & Data Science Preprint PDF DOI

Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

Neemias B da Silva, Rodrigo Minetto, Daniel Silver, Thiago H Silva · 2026

Large Language Models (LLMs) are increasingly used as proxies for human perception in urban analysis, yet it remains unclear whether persona prompting produces meaningful and reproducible behavioral d…

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AI & Data Science Preprint PDF DOI

MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness

Jeanne Monnier, Thomas George, Frederic Guyard, Christele Tarnec, Marios Kountouris · 2026

Fairness in machine learning remains challenging due to its ethical complexity, the absence of a universal definition, and the need for context-specific bias metrics. Existing methods still struggle w…

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AI & Data Science Preprint PDF DOI

Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care

Prabhjot Singh, Abhishek Gupta, Chris Betz, Abe Flansburg, Brett Ives, Sudeep Lama, Jung Hoon Son · 2026

We reframe clinician overrides of clinical AI recommendations as implicit preference data - the same signal structure exploited by reinforcement learning from human feedback (RLHF), but richer: the an…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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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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AI & Data Science Preprint PDF DOI

Linguistically Informed Multimodal Fusion for Vietnamese Scene-Text Image Captioning: Dataset, Graph Framework, and Phonological Attention

Nhi Ngoc-Yen Nguyen, Anh-Duc Nguyen, Nghia Hieu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen · 2026

Scene-text image captioning requires fusing three information streams -- visual features, OCR-detected text, and linguistic knowledge -- to generate descriptions that faithfully integrate text visible…

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Physics Preprint PDF DOI

Parametrically Driven iSWAP Gate Using a Capacitively Shunted Double-Transmon Coupler at the Zero-Flux Sweet Spot

Shinichi Inoue, Rui Li, Kentaro Kubo, Yinghao Ho, Yasunobu Nakamura, Hayato Goto · 2026

A double-transmon coupler (DTC) enables a fast, high-fidelity CZ gate between two highly detuned, fixed-frequency transmon qubits. Moreover, a recently proposed capacitively shunted DTC (CSDTC) realiz…

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Mathematics Preprint PDF DOI

Structural properties of Bia{\l}ynicki-Birula decompositions

Teddy Gonzales, Chayim Lowen · 2026

We investigate several aspects of the Bialynicki-Birula decomposition of a smooth complete $\mathbb{G}_m$-variety with finite fixed locus. Our results include novel characterizations of when the Bialy…

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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel · 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literat…

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AI & Data Science Preprint PDF DOI

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

Ali Aghazadeh Ardebili, Massimo Stella · 2026

Large Language Models (LLMs) can strongly shape social discourse, yet datasets investigating how LLM outputs vary across controlled social and contextual prompting remain sparse. Cognitive Digital Sha…

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AI & Data Science Preprint PDF DOI

Martingale Posteriors for Discretely Observed Diffusions

Jingning Yao, Ajay Jasra, Sheng Jiang · 2026

In this paper we consider parameter estimation for discretely observed diffusion processes. In particular, we focus on data that are observed at low frequency and methodology that can estimate paramet…

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AI & Data Science Preprint PDF DOI

Online semi-supervised perception: Real-time learning without explicit feedback

Branislav Kveton, Michal Valko, Matthai Phillipose, Ling Huang · 2026

This paper proposes an algorithm for real-time learning without explicit feedback. The algorithm combines the ideas of semi-supervised learning on graphs and online learning. In particular, it iterati…

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AI & Data Science Preprint PDF DOI

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

Jian Lin, Jiancheng Fang, Shaoyu Wang, Changan Lai, Yikun Zhang, Yang Chen, Qiegen Liu · 2026

While 3D Gaussian splatting (3DGS) offers explicit and efficient scene representations for cone-beam computed tomography reconstruction, conventional photometric optimization inherently suffers from s…

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Mathematics Preprint PDF DOI

Vertex Posets, Monotone Path Polytopes, and Chow Polynomials

Mateusz Micha{l}ek, Leonid Monin, Botong Wang · 2026

Let $P\subset\mathbb R^n$ be a convex polytope and let $\ell$ be a linear functional which is nonconstant on every edge of $P$. The induced acyclic orientation determines positive and negative Bia{\l}…

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Mathematics Preprint PDF DOI

An improved non-linear Roth-type theorem in finite fields

Mark Lewko · 2026

Let $F$ be a finite field of odd characteristic. We prove that any set $A\subset F$ with $|A|\geq C|F|^{5/6}$ contains a nontrivial quadratic progression $(x, x+y, x+y^2), y\neq 0.$ For prime fields, …

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AI & Data Science Preprint PDF DOI

Debiasing Reward Models via Causally Motivated Inference-Time Intervention

Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida · 2026

Reward models (RMs) play a central role in aligning large language models (LLMs) with human preferences. However, RMs are often sensitive to spurious features such as response length. Existing inferen…

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