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Mathematics Preprint PDF DOI

On ergodicity of the SAGA-LD algorithm

Miklos Rasonyi ยท 2026

The so-called SAGA-LD algorithm is used for efficient sampling from high-dimensional distributions in machine learning. Its intricate dynamics resists standard approaches of Markov chain theory. We prโ€ฆ

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AI & Data Science Preprint PDF DOI

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding

Hao Yan, Yuliang Liu, Xingchen Liu, Yuyi Zhang, Minghui Liao, Jihao Wu, Wei Chen, Xiang Bai ยท 2026

Existing Multimodal Large Language Models (MLLMs) suffer from significant performance degradation on the long document understanding task as document length increases. This stems from two fundamental โ€ฆ

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AI & Data Science Preprint PDF DOI

Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach

Adrien Dorise, Marjorie Bellizzi, Omar Hlimi ยท 2026

Satellite image restoration aims to improve image quality by compensating for degradations (e.g., noise and blur) introduced by the imaging system and acquisition conditions. As a fundamental preproceโ€ฆ

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AI & Data Science Preprint PDF DOI

Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors

Feiyu Tan, Heran Yang, Qihong Duan, Kai Ye, Qi Xie, Deyu Meng ยท 2026

Image-to-image translation (I2I) is a fundamental task in computer vision, focused on mapping an input image from a source domain to a corresponding image in a target domain while preserving domain-inโ€ฆ

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Computer Science Preprint PDF DOI

Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education

Mary Nusrat, Sarfuddin Bhuiyan, Gahangir Hossain ยท 2026

The growing sophistication of contemporary cyber threats necessitates a more effective and adaptive approach to cybersecurity training. Intuitive and adaptive approaches to learning, which are often rโ€ฆ

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Computer Science Preprint PDF DOI

A sequential explanatory mixed-methods study on the acceptance of a social robot for EFL speaking practice among Chinese primary school students: Insights from the Computers Are Social Actors (CASA) paradigm

Yiran Du, Jinlong Li, Huimin He, Chenghao Wang, Bin Zou ยท 2026

This study investigates Chinese primary school students' acceptance of a social robot for English-as-a-foreign-language (EFL) speaking practice through a sequential explanatory mixed-methods design. Iโ€ฆ

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AI & Data Science Preprint PDF DOI

Efficient Adversarial Training via Criticality-Aware Fine-Tuning

Wenyun Li, Zheng Zhang, Dongmei Jiang, Yaowei Wang, Xiangyuan Lan ยท 2026

Vision Transformer (ViT) models have achieved remarkable performance across various vision tasks, with scalability being a key advantage when applied to large datasets. This scalability enables ViT moโ€ฆ

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AI & Data Science Preprint PDF DOI

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning

Timon Ziegenbein, Maja Stahl, Henning Wachsmuth ยท 2026

Editing human-written text has become a standard use case of large language models (LLMs), for example, to make one's arguments more appropriate for a discussion. Comparing human to LLM-generated editโ€ฆ

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AI & Data Science Preprint PDF DOI

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization

Li Shen, Yan Sun, Dacheng Tao ยท 2026

Federated learning (FL) is a distributed paradigm that coordinates massive local clients to collaboratively train a global model via stage-wise local training processes on the heterogeneous dataset. Pโ€ฆ

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Physics Preprint PDF DOI

Variability classification of TESS targets in LOPS2, the first long-term pointing field of PLATO. Version 1 of the public variability catalogue

Mykyta Kliapets, Pablo Huijse, Jeroen Audenaert, Andrew Tkachenko, Marek Skarka, Paul F. X. Gregory, Dominic M. Bowman, Simon J. Murphy, Poojan Agrawal, Jozsef M. Benko, Hannah Brinkman, Nicholas Jannsen, Yoshi Nike Emilia Eschen, Allison Eto, Dario J. Fritzewski, Alex Kemp, Viktor Khalack, Gang Li, Ricardo Ochoa-Armenta, Ines Rolo, Nena Scheller, Rose S. Stanley, Keegan Thomson-Paressant, Emese Plachy, Vincent Vanlaer, Mathijs Vanrespaille, Jasmine Vrancken, Haotian Wang, Yian Xia, George R. Ricker, Conny Aerts ยท 2026

The PLAnetary Transits and Oscillations of stars (PLATO) mission is expected to launch in January 2027. A total of 8\% of its data rate will be dedicated to complementary science targets selected fromโ€ฆ

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Computer Science Preprint PDF DOI

On the Meaning of the Web as an Object of Study

Claudio Gutierrez, Daniel Hernandez ยท 2026

This text advances the hypothesis that the meaning of the Web as an object of study has diluted as a clear research domain. One example of this phenomenon is the identity crisis of the Web Conference โ€ฆ

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AI & Data Science Preprint PDF DOI

Scaling In-Context Segmentation with Hierarchical Supervision

T. Camaret Ndir, Marco Reisert, Robin T. Schirrmeister ยท 2026

In-context learning (ICL) enables medical image segmentation models to adapt to new anatomical structures from limited examples, reducing the clinical annotation burden. However, standard ICL methods โ€ฆ

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Computer Science Preprint PDF DOI

Short Version of VERIFAI2026 Paper -- Learning Infused Formal Reasoning: Contract Synthesis, Artefact Reuse and Semantic Foundations

Arshad Beg, Diarmuid O'Donoghue, Rosemary Monahan ยท 2026

Artificial intelligence systems have achieved remarkable capability in natural language processing, perception and decision-making tasks. However, their behaviour often remains opaque and difficult toโ€ฆ

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AI & Data Science Preprint PDF DOI

Stress Detection Using Wearable Physiological and Sociometric Sensors

Oscar Martinez Mozos, Virginia Sandulescu, Sally Andrews, David Ellis, Nicola Bellotto, Radu Dobrescu, Jose Manuel Ferrandez ยท 2026

Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in a social situation bโ€ฆ

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Computer Science Preprint PDF DOI

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge

Gustavo de Carvalho Bertoli ยท 2026

While Federated Learning (FL) mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks (MIAs). This paper presents an empirical evaluation of Difโ€ฆ

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Mathematics Preprint PDF DOI

On Higher-Order Geometric Refinements of Classical Covariance Asymptotics: An Approach via Intrinsic and Extrinsic Information Geometry

Malik Amir, Sourangshu Ghosh ยท 2026

Classical Fisher-information asymptotics describe the covariance of regular efficient estimators through the local quadratic approximation of the log-likelihood, and thus capture first-order geometry โ€ฆ

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AI & Data Science Preprint PDF DOI

Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning

Adam T. Muller, Tobias Rogelein, Nicolaj C. Stache ยท 2026

The deployment of deep neural networks in safety-critical systems necessitates reliable and efficient uncertainty quantification (UQ). A practical and widespread strategy for UQ is repurposing stochasโ€ฆ

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AI & Data Science Preprint PDF DOI

Transferable Expertise for Autonomous Agents via Real-World Case-Based Learning

Zhenyu Ma, Yuyang Song, Chunyi Yang, Jingyi Zhu, Letian Yang, Xukai Jiang ยท 2026

LLM-based autonomous agents perform well on general reasoning tasks but still struggle to reliably use task structure, key constraints, and prior experience in complex real-world settings. We propose โ€ฆ

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Computer Science Preprint PDF DOI

EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino, Roger Ferrer, Oscar Palomar, Francesco Minervini, Jesus Labarta, Mauro Olivieri, Sebastiano Pomata, Pedro Marcuello, Jordi Cortina, Alberto Moreno, Josep Sans, Roger Espasa, Vassilis Papaefstathiou, Nikolaos Dimou, Georgios Ieronymakis, Antonis Psathakis, Michalis Giaourtas, Iasonas Mastorakis, Manolis Marazakis, Eric Guthmuller, Andrea Bocco, Jerome Fereyre, Cesar Fuguet, Mate Kovac, Mario Kovac, Luka Mrkovic, Josip Ramljak, Luca Bertaccini, Tim Fischer, Frank K. Gurkaynak, Paul Scheffler, Luca Benini, Bhavishya Goel, Madhavan Manivannan, Tiago Rocha, Nuno Neves, Jens Kruger ยท 2026

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European HPC processor ecosyโ€ฆ

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Engineering Preprint PDF DOI

An AI-Ready Pipeline for Impedance-Resolved QCM Biosensor: Interpretable Line-Shape Features, Redundancy Control, and Robust Regression

Ceyhun Kirimli, Elcim Elgun, Yagmur Tugtag ยท 2026

Accurate inference from quartz crystal microbalance (QCM) measurements in liquids is often limited by reducing resonance behavior to two scalar endpoints (frequency and dissipation shifts, $\Delta f$ โ€ฆ

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