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

Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation

Wentao Jiang, Yuanchan Xu, Heng Yuan ยท 2026

Image classification remains a fundamental yet challenging task in computer vision, particularly when fine-grained feature extraction and background noise suppression are required simultaneously. Convโ€ฆ

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AI & Data Science Preprint PDF DOI

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation

Rui Qi, Fengran Mo, Sijin Lu, Yufeng Chen, Jian-Yun Nie, Kaiyu Huang ยท 2026

A multilingual collection may contain useful knowledge in other languages to supplement and correct the facts in the original language for Retrieval-Augmented Generation (RAG). However, the vanilla apโ€ฆ

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AI & Data Science Preprint PDF DOI

Shearlet Neural Operators for Anisotropic-Shock-Dominated and Multi-scale parametric partial differential equations

Fabio Pereira dos Santos, Julio de Castro Vargas Fernandes, Adriano Mauricio de Almeida Cortes ยท 2026

Neural operators have emerged as powerful data-driven surrogates for learning solution operators of parametric partial differential equations (PDEs). However, widely used Fourier Neural Operators (FNOโ€ฆ

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Mathematics Preprint PDF DOI

A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery

Zhang Jiang, Marios Andreou, Sebastian Reich, Nan Chen ยท 2026

Data assimilation (DA) integrates observational information with model predictions to improve state estimation in complex systems. While filtering provides the basis for online forecasts by using onlyโ€ฆ

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AI & Data Science Preprint PDF DOI

Online Learning for Autoregressive Multilayer Stochastic Block Models under Stationarity and Non-Stationarity

Fan Wang, Haotian Xu, Yi Yu ยท 2026

Dynamic multilayer networks arise in many applications where multiple types of relations among a common set of nodes evolve over time. Existing approaches often assume temporal independence, focus on โ€ฆ

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AI & Data Science Preprint PDF DOI

Prior-Aligned Data Cleaning for Tabular Foundation Models

Laure Berti-Equille ยท 2026

Tabular Foundation Models (TFMs) achieve state-of-the-art zero-shot accuracy on small tabular datasets by meta-learning over synthetic data-generating processes -- making them highly attractive for prโ€ฆ

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AI & Data Science Preprint PDF DOI

The Role of Symmetry in Optimizing Overparameterized Networks

Kusha Sareen, Mohammad Pedramfar, Sekou-Oumar Kaba, Mehran Shakerinava, Siamak Ravanbakhsh ยท 2026

Overparameterization is central to the success of deep learning, yet the mechanisms by which it improves optimization remain incompletely understood. We analyze weight-space symmetries in neural netwoโ€ฆ

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Mathematics Preprint PDF DOI

Encoded Forward Backward Stochastic Neural Network for High-Dimensional Backward Stochastic Differential Equations and Parabolic Partial Differential Equations

Zhao Zhang, Zhuopeng Hou ยท 2026

Backward stochastic differential equation (BSDE) provides probabilistic solutions for a class of parabolic partial differential equations (PDEs). DeepBSDE and FBSNN are two deep learning approaches foโ€ฆ

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Computer Science Preprint PDF DOI

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval

Jongyoon Kim, Minseong Hwang, Seung-won Hwang ยท 2026

Unsupervised domain adaptation generalizes neural retrievers to an unseen domain by generating pseudo queries on target domain documents. The quality and efficiency of this adaptation critically depenโ€ฆ

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AI & Data Science Preprint PDF DOI

Conflict Forecasting via Conformal Prediction for Markov Processes

Aditya Basarkar, Emmett B. Kendall, David Randahl, Jonathan P. Williams, Gudmund H. Hermansen ยท 2026

Whether or not a country is at war, or experiencing escalating or deescalating levels of conflict, has massive ramifications on a country's national and foreign policy. Given a country's history of coโ€ฆ

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Mathematics Preprint PDF DOI

Accelerating Regularized Attention Kernel Regression for Spectrum Cartography

Liping Tao, Chee Wei Tan ยท 2026

Spectrum cartography reconstructs spatial radio fields from sparse and heterogeneous wireless measurements, underpinning many sensing and optimization tasks in wireless networks. Attention mechanisms โ€ฆ

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Physics Preprint PDF DOI

Quantum Dynamics via Score Matching on Bohmian Trajectories

Lei Wang ยท 2026

We solve the time-dependent Schr\"odinger equation by learning the score function, the gradient of the log-probability density, on Bohmian trajectories. In Bohm's formulation of quantum mechanics, parโ€ฆ

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AI & Data Science Preprint PDF DOI

Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment

James Pustejovsky, Nikhil Krishnaswamy ยท 2026

We propose Frictive Policy Optimization (FPO), a framework for learning language model policies that regulate not only what to say, but when and how to intervene in order to manage epistemic and normaโ€ฆ

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AI & Data Science Preprint PDF DOI

What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective

Guangzeng Han, Xiaolei Huang ยท 2026

Instruction-tuning datasets often contain substantial redundancy and low-quality samples, necessitating effective data selection methods. We propose an instruction data selection framework based on weโ€ฆ

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Computer Science Preprint PDF DOI

8DNA: 8D Neural Asset Light Transport by Distribution Learning

Liwen Wu, Haolin Lu, Bing Xu, Milos Hasan, Ravi Ramamoorthi ยท 2026

High-fidelity 3D assets exhibit intriguing global illumination effects like subsurface scattering, glossy interreflections, and fine-scale fiber scatterings, which often involve long scattering paths โ€ฆ

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Engineering Preprint PDF DOI

HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness

Ethan Foong, Yunshuang Li, Hao Jiang, Gaurav S. Sukhatme, Daniel Seita ยท 2026

Dexterous robot hands offer rich opportunities for multifunctional manipulation, where a robot must execute multiple skills in sequence while maintaining control over previously grasped objects. Most โ€ฆ

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Education Preprint PDF DOI

USEQIP: Outcomes and experiences from 17 years of undergraduate summer schools in experimental quantum information science

John M Donohue, Michael J Grabowecky, George Nichols, Martin Laforest, Lino Eugene, Fiona Thompson, Peter Sprenger, Kevin Resch, David G Cory ยท 2026

To grow the quantum information science and technology workforce, opportunities for students to gain experiential learning and build a sense of belonging in the broader community are essential. The Unโ€ฆ

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Physics Preprint PDF DOI

Gauge Theoretic Signal Processing II: Zero-Latency Whitening for Early Warning Pipelines

James Kennington, Joshua Black, Zach Yarbrough, Yun-Jing Huang, Chad Hanna, Leo Tsukada, Amanda Baylor, Olivia Godwin, Prathamesh Joshi, Cody Messick, Surabhi Sachdev, Ron Tapia ยท 2026

Low-latency gravitational-wave search pipelines provide early-warning alerts for multimessenger astrophysical transients. Current pipelines whiten the data stream using acausal, linear-phase filters, โ€ฆ

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Computer Science Preprint PDF DOI

Supporting Belonging in Software Engineering Through Role Models Exposure

Ronnie de Souza Santos ยท 2026

Role models are widely discussed in educational research as influential in students identity development and sense of belonging, yet less attention has been given to how role model visibility can be sโ€ฆ

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Computer Science Preprint PDF DOI

Does This Even Matter in the Real World? Real World Problems in Foundational Theory Courses

Anna Kuznetsova ยท 2026

Discrete mathematics and probability theory contain foundational material for computer scientists. Despite their importance, instructors often worry that students will find these courses to be too absโ€ฆ

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