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AI & Data Science Preprint PDF DOI

The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform

Akshit Gupta, Joris Timmermans, Filip Biljecki, Remko Uijlenhoet ยท 2026

High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban parameters are developed primarily using manual inspeโ€ฆ

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AI & Data Science Preprint PDF DOI

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding

Eun Woo Im, Dhruv Madhwal, Vivek Gupta ยท 2026

Vision-Language Models demonstrate remarkable capabilities but often struggle with compositional reasoning, exhibiting vulnerabilities regarding word order and attribute binding. This limitation ariseโ€ฆ

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Computer Science Preprint PDF DOI

Threat Modeling and Attack Surface Analysis of IoT-Enabled Controlled Environment Agriculture Systems

Andrii Vakhnovskyi ยท 2026

The United States designates Food and Agriculture as one of sixteen critical infrastructure sectors, yet no mandatory cybersecurity requirements exist for agricultural operations and no formal threat โ€ฆ

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AI & Data Science Preprint PDF DOI

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering

Vutichart Buranasiri, James M. Murphy ยท 2026

An unsupervised framework for hyperspectral image (HSI) clustering is proposed that incorporates masked deep representation learning with diffusion-based clustering, extending the Spatially-Regularizeโ€ฆ

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Economics & Finance Preprint PDF DOI

Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach

Yimeng Qiu, Qiwei Han ยท 2026

This paper investigates how similarity in the informational representation of market states among Artificial Intelligence (AI) trading agents can generate systemic instability in financial markets. Weโ€ฆ

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Engineering Preprint PDF DOI

Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems

Binh Nguyen, Nam T. Nguyen, Truong X. Nghiem ยท 2026

This paper investigates the problem of data-driven modeling of port-Hamiltonian systems while preserving their intrinsic Hamiltonian structure and stability properties. We propose a novel neural-netwoโ€ฆ

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AI & Data Science Preprint PDF DOI

Physics-informed reservoir characterization from bulk and extreme pressure events with a differentiable simulator

Harun Ur Rashid, Mingxin Li, Aleksandra Pachalieva, Georg Stadler, Daniel O'Malley ยท 2026

Accurate characterization of subsurface heterogeneity is challenging but essential for applications such as reservoir pressure management, geothermal energy extraction and CO$_2$, H$_2$, and wastewateโ€ฆ

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AI & Data Science Preprint PDF DOI

Graph-Based Fraud Detection with Dual-Path Graph Filtering

Wei He, Wensheng Gan, Philip S. Yu ยท 2026

Fraud detection on graph data can be viewed as a demanding task that requires distinguishing between different types of nodes. Because graph neural networks (GNNs) are naturally suited for processing โ€ฆ

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Computer Science Preprint PDF DOI

Neural Stringology Based Cryptanalysis of EChaCha20

Victor Kebande ยท 2026

Modern stream ciphers rely on strong diffusion and pseudorandom keystream generation (PKG) to resist cryptanalysis. While conventional evaluation methods such as statistical randomness tests and diffeโ€ฆ

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AI & Data Science Preprint PDF DOI

L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification

Rishik Kondadadi, John E. Ortega ยท 2026

Clinical text classification requires choosing between specialized fine-tuned models (BERT variants) and general-purpose large language models (LLMs), yet neither dominates across all instances. We inโ€ฆ

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AI & Data Science Preprint PDF DOI

Attention to task structure for cognitive flexibility

Xiaoyu K. Zhang, Mehdi Senoussi, Tom Verguts ยท 2026

Humans and artificial agents must often learn and switch between multiple tasks in dynamic environments. Success in such settings requires cognitive flexibility: the ability to retain prior knowledge โ€ฆ

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Computer Science Preprint PDF DOI

Comprehension Debt in GenAI-Assisted Software Engineering Projects

Muhammad Ovais Ahmad ยท 2026

Generative Artificial Intelligence (GenAI) tools (e.g., ChatGPT, Calude) have rapidly become integral to software development. These tools are especially attractive to students, as they can reduce cogโ€ฆ

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Computer Science Preprint PDF DOI

Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

Joseph Moore ยท 2026

The IEC-61850 GOOSE protocol underpins time-critical communication in modern digital substations but lacks native security mechanisms, leaving it vulnerable to replay, masquerade, and data injection aโ€ฆ

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AI & Data Science Preprint PDF DOI

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation

Yilang Zhang, Abraham Jaeger Mountain, Bingcong Li, Georgios B. Giannakis ยท 2026

Meta-learning offers a principled framework leveraging \emph{task-invariant} priors from related tasks, with which \emph{task-specific} models can be fine-tuned on downstream tasks, even with limited โ€ฆ

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Economics & Finance Preprint PDF DOI

Which Voices Move Markets? Speaker Identity and the Cross-Section of Post-Earnings Returns

Karmanpartap Singh Sidhu, Junyi Fan, Maryam Pishgar ยท 2026

We utilize FinBERT, a domain-specific transformer model, to parse 6.5 million sentences from 16,428 S&P 500 quarterly earnings call transcripts (2015-2025) and demonstrate that post-earnings stock retโ€ฆ

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Mathematics Preprint PDF DOI

Global attractors and fast-slow reduction for finite-state actor-critic mean dynamics

Vladyslav Prytula (zooplus SE) ยท 2026

When a learning algorithm reshapes the data distribution it trains on, the long-run behavior depends on the joint evolution of the policy, the value estimate, and the data distribution. We study finitโ€ฆ

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AI & Data Science Preprint PDF DOI

Counterfactual Peptide Editing for Causal TCR--pMHC Binding Inference

Sanjar Khudoyberdiev, Arman Bekov ยท 2026

Neural models for TCR-pMHC binding prediction are susceptible to shortcut learning: they exploit spurious correlations in training data -- such as peptide length bias or V-gene co-occurrence -- ratherโ€ฆ

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Engineering Preprint PDF DOI

Dynamic Regret in Time-varying MDPs with Intermittent Information

Negin Musavi, Melkior Ornik ยท 2026

We study sequential decision-making in time-varying Markov decision processes (TVMDPs) under limited update rates, where the decision-maker observes the system and updates its model only intermittentlโ€ฆ

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AI & Data Science Preprint PDF DOI

Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference

Kevin Wilkinghoff, Neelu Madan, Juan Miguel Valverde, Kamal Nasrollahi, Radu Tudor Ionescu, Rafal Wisniewski, Thomas B. Moeslund, Wenwu Wang, Zheng-Hua Tan ยท 2026

Anomaly detection aims to identify observations that deviate from expected behavior. Because anomalous events are inherently sparse, most frameworks are trained exclusively on normal data to learn a sโ€ฆ

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AI & Data Science Preprint PDF DOI

Analog Optical Inference on Million-Record Mortgage Data

Sofia Berloff, Pavel Koptev, Konstantin Malkov ยท 2026

Analog optical computers promise large efficiency gains for machine learning inference, yet no demonstration has moved beyond small-scale image benchmarks. We benchmark the analog optical computer (AOโ€ฆ

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