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Showing 346661 results for "avoidance learning"
AI & Data Science Preprint PDF DOI

Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference

Michal Podstawski ยท 2026

Small language models fine-tuned for graph property estimation have demonstrated strong in-distribution performance, yet their generalization capabilities beyond training conditions remain poorly undeโ€ฆ

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Engineering Preprint PDF DOI

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp

Muhammad Bilal Khan, Florian Hofmann, Kilian Schafer, Matthias Lutzi, Oliver Gutfleisch ยท 2026

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic โ€ฆ

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AI & Data Science Preprint PDF DOI

Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles

Emanuel Sommer, Rickmer Schulte, Sarah Deubner, Julius Kobialka, David Rugamer ยท 2026

Bayesian Deep Ensembles (BDEs) represent a powerful approach for uncertainty quantification in deep learning, combining the robustness of Deep Ensembles (DEs) with flexible multi-chain MCMC. While DEsโ€ฆ

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Physics Preprint PDF DOI

Materials Informatics Across the Length Scales

Jamal Abdul Nasir, Hamide Kavak, Oguzhan Der, Ali Ercetin, Amila Akagic, Jesper Friis, Francesca L. Bleken, Andrea Lorenzoni, Francesco Mercuri, Scott M. Woodley, Keith T. Butler ยท 2026

Materials informatics is increasingly used to support modelling, analysis and design across the length scales of materials science, from atomistic simulations to microstructural characterisation and cโ€ฆ

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AI & Data Science Preprint PDF DOI

Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations

Agnieszka Pregowska, Hazem M. Kalaji ยท 2026

Reconstructing continuous environmental fields from sparse and irregular observations remains a central challenge in environmental modelling and biodiversity informatics. Many ecological datasets are โ€ฆ

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AI & Data Science Preprint PDF DOI

Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting

Hyeonseo Jang, Hyuk Kwon, Kibok Lee ยท 2026

We investigate recently introduced domain-class incremental learning scenarios for vision-language models (VLMs). Recent works address this challenge using parameter-efficient methods, such as prefix-โ€ฆ

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AI & Data Science Preprint PDF DOI

Modeling Human Perspectives with Socio-Demographic Representations

Leixin Zhang, Cagri Coltekin ยท 2026

Humans often hold different perspectives on the same issues. In many NLP tasks, annotation disagreement can reflect valid subjective perspectives. Modeling annotator perspectives and understanding theโ€ฆ

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Computer Science Preprint PDF DOI

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining

Francesco Vitale, Francesco Grimaldi, Massimiliano Rak, Nicola Mazzocca ยท 2026

Anomaly-based Intrusion Detection Systems (IDSs) ensure protection against malicious attacks on networked systems. While deep learning-based IDSs achieve effective performance, their limited trustwortโ€ฆ

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AI & Data Science Preprint PDF DOI

Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design

Yunjia Yang, Babak Gholami, Caglar Gurbuz, Mohammad Rashed, Nils Thuerey ยท 2026

Accurate machine-learning models for aerodynamic prediction are essential for accelerating shape optimization, yet remain challenging to develop for complex three-dimensional configurations due to theโ€ฆ

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Physics Preprint PDF DOI

Information decomposition for disentangled and interpretable manifold learning of fluid flows via variational autoencoders

Zhiyuan Wang, Iacopo Tirelli, Stefano Discetti, Andrea Ianiro ยท 2026

We introduce an information-theoretic framework that uses variational autoencoders (VAEs) to extract compact, physically interpretable manifolds from high-dimensional flow-field data. To this end, theโ€ฆ

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AI & Data Science Preprint PDF DOI

Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity

Blaise Delaney, Salil Patel, Yuji Xing, Dominic Dootson, Karin Sevegnani ยท 2026

We introduce Sonata, a compact latent world model for six-axis trunk IMU representation learning under clinical data scarcity. Clinical cohorts typically comprise tens to hundreds of patients, making โ€ฆ

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Computer Science Preprint PDF DOI

ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

Saeid Sheikhi, Panos Kostakos, Lauri Loven ยท 2026

Intrusion detection systems (IDSs) for 5G networks must handle complex, high-volume traffic. Although opaque "black-box" models can achieve high accuracy, their lack of transparency hinders trust and โ€ฆ

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AI & Data Science Preprint PDF DOI

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval

Zhiwei Chen, Yupeng Hu, Zhiheng Fu, Zixu Li, Jiale Huang, Qinlei Huang, Yinwei Wei ยท 2026

Composed Image Retrieval (CIR) is a challenging image retrieval paradigm that enables to retrieve target images based on multimodal queries consisting of reference images and modification texts. Althoโ€ฆ

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AI & Data Science Preprint PDF DOI

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting

Mingyu Shi, Xin Di, Long Peng, Boxiang Cao, Anran Wu, Zhanfeng Feng, Jiaming Guo, Renjing Pei, Xueyang Fu, Yang Cao, Zhengjun Zha ยท 2026

Continuous Spatio-Temporal Video Super-Resolution (C-STVSR) aims to simultaneously enhance the spatial resolution and frame rate of videos by arbitrary scale factors, offering greater flexibility thanโ€ฆ

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AI & Data Science Preprint PDF DOI

An ensemble-based approach for multi-fidelity emulation and adaptive sampling

Hossein Mohammadi ยท 2026

High-resolution simulation models are essential for representing complex physical systems, yet their substantial computational cost severely limits the number of feasible high-fidelity (HF) evaluationโ€ฆ

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Computer Science Preprint PDF DOI

HolmeSketcher: Generative 3D Sketch Mapping for Spatial Reconstruction in Crime Scene Investigation

Tianyi Xiao, Yizi Chen, Sidi Wu, Peter Kiefer, Yan Feng, Martin Raubal ยท 2026

Sketch mapping is widely used in crime scene investigation (CSI) to document, interpret, and communicate spatial information. However, it is typically performed on 2D media, which limits its ability tโ€ฆ

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AI & Data Science Preprint PDF DOI

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval

Zixu Li, Yupeng Hu, Zhiwei Chen, Shiqi Zhang, Qinlei Huang, Zhiheng Fu, Yinwei Wei ยท 2026

Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference image and modificationโ€ฆ

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AI & Data Science Preprint PDF DOI

Variational Autoencoder Domain Adaptation for Cross-System Generalization in ML-Based SOP Monitoring

Leyla Sadighi, Stefan Karlsson, Carlos Natalino, Mojtaba Eshghie, Fehmida Usmani, Eoin Kenny, Lena Wosinska, Paolo Monti, Marija Furdek, Marco Ruffini ยท 2026

Machine learning (ML) models trained to detect physical-layer threats on one optical fiber system often fail catastrophically when applied to a different system, due to variations in operating wavelenโ€ฆ

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Computer Science Preprint PDF DOI

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora

Shangyu Li, Juyong Jiang, Meibo Ren, Sizhe Zhong, Huiri Tan, Yunhao Gou, Xu Han, Chun Yong Chong, Yun Peng, Jiasi Shen ยท 2026

Transpilation, or code translation, aims to convert source code from one programming language (PL) to another. It is beneficial for many downstream applications, from modernizing large legacy codebaseโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment

Sanzo Miyazawa ยท 2026

The inverse Potts problem for estimating evolutionary single-site fields and pairwise couplings in homologous protein sequences from their single-site and pairwise amino acid frequencies observed in tโ€ฆ

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