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

ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing

Jebacyril Arockiaraj, Dhruv Parikh, Viktor Prasanna ยท 2026

On-device continual learning (CL) is critical for edge AI systems operating on non-stationary data streams, but most existing methods rely on backpropagation or exemplar-heavy classifiers, incurring sโ€ฆ

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Computer Science Preprint PDF DOI

Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale

Kashish Mittal, Di Yu, Roozbeh Ketabi, Arushi Arora, Brendon Lapp, Peng Zhang ยท 2026

Training massive-scale deep learning models on datasets spanning tens of terabytes presents critical challenges in hardware utilization and training reproducibility. In this paper, we identify and resโ€ฆ

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AI & Data Science Preprint PDF DOI

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding

Wenkai Wang, Xiyun Li, Hongcan Guo, Wenhao Yu, Tianqing Fang, Haitao Mi, Dong Yu, Shengyu Zhang ยท 2026

Graphical User Interface (GUI) grounding requires mapping natural language instructions to precise pixel coordinates. However, due to visually homogeneous elements and dense layouts, models typically โ€ฆ

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AI & Data Science Preprint PDF DOI

Improving Performance in Classification Tasks with LCEN and the Weighted Focal Differentiable MCC Loss

Pedro Seber, Richard D. Braatz ยท 2026

The LASSO-Clip-EN (LCEN) algorithm was previously introduced for nonlinear, interpretable feature selection and machine learning. However, its design and use was limited to regression tasks. In this wโ€ฆ

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AI & Data Science Preprint PDF DOI

CAP: Controllable Alignment Prompting for Unlearning in LLMs

Zhaokun Wang, Jinyu Guo, Jingwen Pu, Hongli Pu, Meng Yang, Xunlei Chen, Jie Ou, Wenyi Li, Guangchun Luo, Wenhong Tian ยท 2026

Large language models (LLMs) trained on unfiltered corpora inherently risk retaining sensitive information, necessitating selective knowledge unlearning for regulatory compliance and ethical safety. Hโ€ฆ

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Physics Preprint PDF DOI

How it cools? Studying the heat flow out of a semi-infinite slab in welding: An analytical approach

Fawzi Aly, Alex Kitt, Luke Mohr ยท 2026

Additive manufacturing and welding processes are highly sensitive to heat dissipation, where improper thermal management leads to residual stresses, distortions, and cracking. Existing heat transfer mโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

Zihan Liang, Ziwen Pan, Ruoxuan Xiong ยท 2026

Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are โ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2

Shady E. Ahmed, Hui Wan, Saad Qadeer, Panos Stinis, Kezhen Chong, Mohammad Taufiq Hassan Mozumder, Kai Zhang, Ann S. Almgren ยท 2026

Toward the goal of using Scientific Machine Learning (SciML) emulators to improve the numerical representation of aerosol processes in global atmospheric models, we explore the emulation of aerosol miโ€ฆ

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Physics Preprint PDF DOI

Physics-Informed Neural Networks for Solving Two-Flavor Neutrino Oscillations in Vacuum and Matter Environments for Atmospheric and Reactor Neutrinos

Srinivasan T., Kalyani Desikan ยท 2026

Neutrino oscillations provide crucial insights into fundamental particle physics, with two-flavor approximations effectively describing reactor and atmospheric phenomena. This paper explores the use oโ€ฆ

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AI & Data Science Preprint PDF DOI

UAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection

Yuze Li, Zhilei Liu ยท 2026

Facial action unit (AU) detection remains challenging because it involves heterogeneous, AU-specific uncertainties arising at both the representation and decision stages. Recent methods have improved โ€ฆ

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Physics Preprint PDF DOI

Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass

Sai Harshit Balantrapu, Atul C. Thakur, Chris Benmore, Ganesh Sivaraman ยท 2026

Glassy silica is a foundational material in optics and electronics, yet accurately predicting its medium-range order (MRO) remains a major challenge for machine-learning interatomic potentials (MLIPs)โ€ฆ

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Physics Preprint PDF DOI

A transfer-learning-enhanced POD-FNN surrogate for rapid signal prediction and inverse fitting in thermoreflectance with patterned transducers

Bingjia Xiao, Tao Chen, Puqing Jiang ยท 2026

Patterned-transducer thermoreflectance enhances sensitivity to low-thermal-conductivity materials by suppressing lateral heat spreading in the metal transducer, but its wider use is limited by the cosโ€ฆ

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Physics Preprint PDF DOI

The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal

Sagar Dubey, Alan John ยท 2026

In continuously monitored quantum systems, the feedback protocol of Garc\'ia-Pintos, Liu, and Gorshkov reshapes the arrow of time: a Hamiltonian $H_{\mathrm{meas}} = r A / \tau$ applied with gain $X$ โ€ฆ

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AI & Data Science Preprint PDF DOI

Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management

Yanan Wang, Yong Ge ยท 2026

Online reviews have played a pivotal role in consumers' decision-making processes. Existing research has highlighted the significant impact of managerial review responses on customer relationship manaโ€ฆ

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Engineering Preprint PDF DOI

Full-Body Dynamic Safety for Robot Manipulators: 3D Poisson Safety Functions for CBF-Based Safety Filters

Meg Wilkinson, Gilbert Bahati, Ryan M. Bena, Emily Fourney, Joel W. Burdick, Aaron D. Ames ยท 2026

Collision avoidance for robotic manipulators requires enforcing full-body safety constraints in high-dimensional configuration spaces. Control Barrier Function (CBF) based safety filters have proven eโ€ฆ

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Mathematics Preprint PDF DOI

Discretization error from regularized Reinforcement Learning to continuous-time stochastic control

Huyen Pham, Yuming Paul Zhang, Yuhua Zhu ยท 2026

This paper establishes a rigorous connection between regularized discrete-time reinforcement learning (RL) and continuous-time stochastic optimal control. Specifically, classical RL algorithms are typโ€ฆ

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AI & Data Science Preprint PDF DOI

Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability

Eleanor Wiesler, Trace Baxley ยท 2026

We propose a learning-augmented framework for accelerating max-flow computation and image segmentation by integrating Graph Neural Networks (GNNs) with the Ford-Fulkerson algorithm. Rather than predicโ€ฆ

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AI & Data Science Preprint PDF DOI

Reinforcing 3D Understanding in Point-VLMs via Geometric Reward Credit Assignment

Jingkun Chen, Ruoshi Xu, Mingqi Gao, Shengda Luo, Jungong Han ยท 2026

Point-Vision-Language Models promise to empower embodied agents with executable spatial reasoning, yet they frequently succumb to geometric hallucination where predicted 3D structures contradict the oโ€ฆ

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Computer Science Preprint PDF DOI

Adaptive Instruction Composition for Automated LLM Red-Teaming

Jesse Zymet, Andy Luo, Swapnil Shinde, Sahil Wadhwa, Emily Chen ยท 2026

Many approaches to LLM red-teaming leverage an attacker LLM to discover jailbreaks against a target. Several of them task the attacker with identifying effective strategies through trial and error, reโ€ฆ

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Computer Science Preprint PDF DOI

Image-Based Malware Type Classification on MalNet-Image Tiny: Effects of Multi-Scale Fusion, Transfer Learning, Data Augmentation, and Schedule-Free Optimization

Ahmed A. Abouelkhaire, Waleed A. Yousef, Issa Traor ยท 2026

This paper studies 43-class malware type classification on MalNet-Image Tiny, a public benchmark derived from Android APK files. The goal is to assess whether a compact image classifier benefits from โ€ฆ

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