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Showing 346661 results for "avoidance learning"
Physics Preprint PDF DOI

Describing the swdatatoolkit: A Space Weather Data Analysis Library

Dustin Kempton, Griffin Goodwin, Tarun Kumar Reddy Thippareddy, Reet Gupta, Viacheslav Sadykov, Rafal Angryk ยท 2026

swdatatoolkit is a Python-based scientific software library designed to support the acquisition, preprocessing, and analysis of solar and space weather data. The toolkit consolidates functionality acrโ€ฆ

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Engineering Preprint PDF DOI

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories

Jon Goikoetxea, Jesus F. Palacian ยท 2026

Imitation learning is a well-established approach for machine-learning-based control. However, its applicability depends on having access to demonstrations, which are often expensive to collect and/orโ€ฆ

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AI & Data Science Preprint PDF DOI

Zero-Shot Morphological Discovery in Low-Resource Bantu Languages via Cross-Lingual Transfer and Unsupervised Clustering

Hillary Mutisya, John Mugane ยท 2026

We present a method for discovering morphological features in low-resource Bantu languages by combining cross-lingual transfer learning with unsupervised clustering. Applied to Giriama (nyf), a languaโ€ฆ

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Engineering Preprint PDF DOI

ATRS: Adaptive Trajectory Re-splitting via a Shared Neural Policy for Parallel Optimization

Jiajun Yu, Guodong Liu, Li Wang, Pengxiang Zhou, Wentao Liu, Yin He, Chao Xu, Fei Gao, Yanjun Cao ยท 2026

Parallel trajectory optimization via the Alternating Direction Method of Multipliers (ADMM) has emerged as a scalable approach to long-horizon motion planning. However, existing frameworks typically dโ€ฆ

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AI & Data Science Preprint PDF DOI

Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought

Keshav Ramji, Tahira Naseem, Ramon Fernandez Astudillo ยท 2026

While long, explicit chains-of-thought (CoT) have proven effective on complex reasoning tasks, they are costly to generate during inference. Non-verbal reasoning methods have emerged with shorter geneโ€ฆ

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Engineering Preprint PDF DOI

CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration

Xiangcen Wu, Ruohua Chen, Sichun Li, Qianye Yang, Sheng Liu, Jianjun Liu, Zhaoheng Xie ยท 2026

Whole-body Positron Emission Tomography (PET) registration is essential for multi-parametric tumor characterization and assessment of metastatic disease progression. In deep learning-based deformable โ€ฆ

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Computer Science Preprint PDF DOI

COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC

Ankur Lahiry, Banooqa Banday, Yugesh Bhattarai, Mohammad Zaeed, Tanzima Z. Islam ยท 2026

HPC systems expose many configuration parameters that jointly drive competing objectives. Existing tools such as autotuners recommend good configurations but do not identify minimal changes for a nearโ€ฆ

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AI & Data Science Preprint PDF DOI

SS3D: End2End Self-Supervised 3D from Web Videos

Marwane Hariat, Gianni Franchi, David Filliat, Antoine Manzanera ยท 2026

We present SS3D, a web-scale SfM-based self-supervision pretraining pipeline for feed-forward 3D estimation from monocular video. Our model jointly predicts depth, ego-motion, and intrinsics in a singโ€ฆ

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Engineering Preprint PDF DOI

Mobility Aware Power Control for VCSEL Based Indoor OWC

Walter Zibusiso Ncube, Ahmad Adnan Qidan, Taisir El-Gorashi, Jaafar M. H. Elmirghani ยท 2026

Optical wireless communication (OWC) is a promising technology for supporting data intensive services in indoor environments due to its large unregulated spectrum, high spatial reuse, and potential foโ€ฆ

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AI & Data Science Preprint PDF DOI

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

Yuchen Xiong, Swee Keong Yeap, Zhen Hong Ban ยท 2026

Graph neural networks achieve strong node-classification accuracy, but learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences, class geometry, and classiโ€ฆ

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AI & Data Science Preprint PDF DOI

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes

Tai Xuan Tan, Alexander Mitsos, Eike Cramer ยท 2026

Batch processes are inherently transient and typically nonlinear, motivating nonlinear model predictive control (NMPC). However, adopting NMPC is hindered by the cost and unavailability of dynamic modโ€ฆ

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Chemistry Preprint PDF DOI

DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian, Shaodong Zhou ยท 2026

Ab initio calculations are fundamentally bottlenecked for large systems by the steep computational scaling of solving self-consistent field (SCF) equations. While machine learning offers potential accโ€ฆ

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AI & Data Science Preprint PDF DOI

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views

Jiaxin Shi, Guofeng Zhang, Wufei Ma, Naifu Liang, Adam Kortylewski, Alan Yuille ยท 2026

Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches largely fall into two categories: those usโ€ฆ

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AI & Data Science Preprint PDF DOI

Associativity-Peakiness Metric for Contingency Tables

Naomi E. Zirkind, William J. Diehl ยท 2026

For the use case of comparing the performance of clustering algorithms whose output is a contingency table, a single performance metric for contingency tables is needed. Such a metric is vital for comโ€ฆ

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Computer Science Preprint PDF DOI

Verifier Warnings Do Not Improve Comprehensibility Prediction

Nadeeshan De Silva, Martin Kellogg, Oscar Chaparro ยท 2026

Proponents of software verification suggest that code simplicity is linked to the effort to verify code, hypothesizing that formal verifiers produce fewer false positive warnings and require less manuโ€ฆ

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AI & Data Science Preprint PDF DOI

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction

Yongxiang Lian, Yueyang Cang, Pingge Hu, Yuchen He, Li Shi ยท 2026

Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are largely restricted toโ€ฆ

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Mathematics Preprint PDF DOI

Correctness of Biot's model of in situ leaching for incompressible liquid and compressible solid components

Anvarbek Meirmanov, Akbota Senkebayeva ยท 2026

We study a mathematical model of in situ leaching of rare metals, in which the joint filtration of two liquids is governed by the microscopic model $\mathbb{A}^{\varepsilon}$. A key difficulty is the โ€ฆ

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Computer Science Preprint PDF DOI

Quality-Driven Selective Mutation for Deep Learning

Zaheed Ahmed, Emmanuel Charleson Dapaah, Philip Makedonski, Jens Grabowski ยท 2026

Mutants support testing and debugging in two roles: (i) as test goals and (ii) as substitutes for real faults. Hard-to-kill mutants provide better guidance for test improvement, while realism is essenโ€ฆ

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Computer Science Preprint PDF DOI

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations

Lukas Hrdonka, Martin Jurecek ยท 2026

Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for both adversarial attacks and defense. Despite inteโ€ฆ

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AI & Data Science Preprint PDF DOI

CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting

Jeffrey Naf, Riana Valera Mbelson, Markus Meierer ยท 2026

Predicting customers' long-term revenue from sparse and irregular transaction data is central to marketing resource allocation in non-contractual settings, yet existing approaches face a trade-off. Trโ€ฆ

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