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Showing 346661 results for "avoidance learning"
Earth & Environmental Sciences Preprint PDF DOI

SeisDiff-intp: a unified prompt-guided flow matching framework for multi-tasks seismic interpretation

Donglin Zhu, Peiyao Li, Ge Jin ยท 2026

The increasing demand for deep learning in seismic interpretation has highlighted significant challenges, particularly the reliance on massive, labeled datasets and the inefficiency of training isolatโ€ฆ

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AI & Data Science Preprint PDF DOI

Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning

Wenqing Li, Xu Feng, Peixue Jiang, Yinhai Zhu ยท 2026

Thermodynamic cycles are pivotal in determining the efficacy of energy conversion systems. Traditional design methodologies, which rely on expert knowledge or exhaustive enumeration, are inefficient aโ€ฆ

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Physics Preprint PDF DOI

Towards grounded autonomous research: an end-to-end LLM mini research loop on published computational physics

Haonan Huang ยท 2026

Recent autonomous LLM agents have demonstrated end-to-end automation of machine-learning research. Real-world physical science is intrinsically harder, requiring deep reasoning bounded by physical truโ€ฆ

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AI & Data Science Preprint PDF DOI

Representing expertise accelerates learning from pedagogical interaction data

Dhara Yu, Karthikeya Kaushik, Bill D. Thompson ยท 2026

Work in cognitive science and artificial intelligence has suggested that exposing learning agents to traces of interaction between multiple individuals can improve performance in a variety of settingsโ€ฆ

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AI & Data Science Preprint PDF DOI

Clustering-Enhanced Domain Adaptation for Cross-Domain Intrusion Detection in Industrial Control Systems

Luyao Wang ยท 2026

Industrial control systems operate in dynamic environments where traffic distributions vary across scenarios, labeled samples are limited, and unknown attacks frequently emerge, posing significant chaโ€ฆ

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AI & Data Science Preprint PDF DOI

CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting

Renlong Hang, Zihao Xu, Jiuwei Zhao, Runling Yu, Leye Cheng, Qingshan Liu ยท 2026

Tropical cyclones (TCs) rank among the most destructive natural hazards, yet their forecasting faces fundamental trade-offs: numerical weather prediction (NWP) models are computationally prohibitive aโ€ฆ

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Computer Science Preprint PDF DOI

Mitigating S-RAHA: An On-device Framework to Prevent Forwarding of Re-Captured Images

Keshav Sood, Iynkaran Natgunanathan, Purathani Praitheeshan, Praitheeshan Kirupananthan ยท 2026

Protecting sensitive visual content from unauthorized redistribution is a growing challenge for privacy focused mobile applications, including dating platforms. Screenshot prevention mechanisms, rely โ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluating Relational Reasoning in LLMs with REL

Lukas Fesser, Yasha Ektefaie, Ada Fang, Sham M. Kakade, Marinka Zitnik ยท 2026

Relational reasoning is the ability to infer relations that jointly bind multiple entities, attributes, or variables. This ability is central to scientific reasoning, but existing evaluations of relatโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Learning Parameterized Nonlinear Elasticity on Curved Surfaces

Yankang Liu, Ke Zhang, Maziar Raissi, Roya Zandi ยท 2026

We learn parameterized nonlinear elasticity on curved surfaces using a physics-informed neural network that enforces governing equations and boundary conditions directly through the loss function, enaโ€ฆ

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Computer Science Preprint PDF DOI

Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference

Anes Abdennebi, Nadjia Kara, Laaziz Lahlou ยท 2026

The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportation, and information security, have led to signiโ€ฆ

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AI & Data Science Preprint PDF DOI

EMBER: Autonomous Cognitive Behaviour from Learned Spiking Neural Network Dynamics in a Hybrid LLM Architecture

William Savage ยท 2026

We present (Experience-Modulated Biologically-inspired Emergent Reasoning), a hybrid cognitive architecture that reorganises the relationship between large language models (LLMs) and memory: rather thโ€ฆ

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Computer Science Preprint PDF DOI

Hybrid Adaptive Tuning for Tiered Memory Systems

Xi Wang, Jie Liu, Shuangyan Yang, Jongryool Kim, Pengfei Su, Dong Li ยท 2026

Memory tiering provides a cost-effective solution to increase memory capacity, utilization, and even bandwidth. Memory tiering relies on system software for memory profiling, detection of frequently aโ€ฆ

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AI & Data Science Preprint PDF DOI

Nucleus-Image: Sparse MoE for Image Generation

Chandan Akiti, Ajay Modukuri, Murali Nandan Nagarapu, Gunavardhan Akiti, Haozhe Liu ยท 2026

We present Nucleus-Image, a text-to-image generation model that establishes a new Pareto frontier in quality-versus-efficiency by matching or exceeding leading models on GenEval, DPG-Bench, and OneIG-โ€ฆ

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AI & Data Science Preprint PDF DOI

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR

Anupam Nayak, Baris Askin, Muhammed Ustaomeroglu, Carlee Joe-Wong, Gauri Joshi ยท 2026

Reasoning post-training with reinforcement learning from verifiable rewards (RLVR) is typically studied in centralized settings, yet many realistic applications involve decentralized private data distโ€ฆ

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Mathematics Preprint PDF DOI

Reinforcement Learning, Optimal Control, and Bayesian Filtering in Data Assimilation

Abed Hammoud ยท 2026

We give a finite-horizon variational formulation that places Bayesian filtering and smoothing, variational data assimilation, KL-regularized control, and Kalman-type methods inside one mathematically โ€ฆ

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AI & Data Science Preprint PDF DOI

Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks

Alzayat Saleh, Mostafa Rahimi Azghadi ยท 2026

Satellite sea surface temperature (SST) products underpin global coral bleaching monitoring, yet they measure only the ocean skin. Corals inhabit depths from the shallows to beyond 20 metres, where teโ€ฆ

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AI & Data Science Preprint PDF DOI

Distinct mechanisms underlying in-context learning in transformers

Cole Gibson, Wenping Cui, Gautam Reddy ยท 2026

Modern distributed networks, notably transformers, acquire a remarkable ability (termed `in-context learning') to adapt their computation to input statistics, such that a fixed network can be applied โ€ฆ

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AI & Data Science Preprint PDF DOI

ViLL-E: Video LLM Embeddings for Retrieval

Rohit Gupta, Jayakrishnan Unnikrishnan, Fan Fei, Sheng Liu, Son Tran, Mubarak Shah ยท 2026

Video Large Language Models (VideoLLMs) excel at video understanding tasks where outputs are textual, such as Video Question Answering and Video Captioning. However, they underperform specialized embeโ€ฆ

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Engineering Preprint PDF DOI

Why Your Tokenizer Fails in Information Fusion: A Timing-Aware Pre-Quantization Fusion for Video-Enhanced Audio Tokenization

Xiangyu Zhang, Benjamin John Southwell, Siqi Pan, Xinlei Niu, Beena Ahmed, Julien Epps ยท 2026

Audio tokenization has emerged as a critical component in end-to-end audio language models, enabling efficient discrete representation learning for both audio understanding and generation tasks. Howevโ€ฆ

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Neuroscience Preprint PDF DOI

Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity

Nam Trinh ยท 2026

Motivated behaviour relies on the brain's capacity to evaluate effort and reward. Dysregulation within these processes contributes to a spectrum of conditions, from hyperactivity in attention-deficit/โ€ฆ

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