Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 55,361 to 55,370 of 226,647 articles

LEMON: Local Explanations via Modality-aware OptimizatioN

arXiv Feb 2, 2026
Multimodal models are ubiquitous, yet existing explainability methods are often single-modal, architecture-dependent, or too computationally expensive to run at scale. We introduce LEMON (Local Explanations via Modality-aware OptimizatioN), a model-a... read more 
Machine Learning

Real-World Applications of AI in LTE and 5G-NR Network Infrastructure

arXiv Feb 2, 2026
Telecommunications networks generate extensive performance and environmental telemetry, yet most LTE and 5G-NR deployments still rely on static, manually engineered configurations. This limits adaptability in rural, nomadic, and bandwidth-constrained... read more 
Networking and Internet Architecture

Causality--Δ: Jacobian-Based Dependency Analysis in Flow Matching Models

arXiv Feb 2, 2026
Flow matching learns a velocity field that transports a base distribution to data. We study how small latent perturbations propagate through these flows and show that Jacobian-vector products (JVPs) provide a practical lens on dependency structure in... read more 
Machine Learning cs.AI

LmPT: Conditional Point Transformer for Anatomical Landmark Detection on 3D Point Clouds

arXiv Feb 2, 2026
Accurate identification of anatomical landmarks is crucial for various medical applications. Traditional manual landmarking is time-consuming and prone to inter-observer variability, while rule-based methods are often tailored to specific geometries ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

From Tokens to Numbers: Continuous Number Modeling for SVG Generation

arXiv Feb 2, 2026
For certain image generation tasks, vector graphics such as Scalable Vector Graphics (SVGs) offer clear benefits such as increased flexibility, size efficiency, and editing ease, but remain less explored than raster-based approaches. A core challenge... read more 
Machine Learning cs.AI cs.CV

A Single Revision Step Improves Token-Efficient LLM Reasoning

arXiv Feb 2, 2026
Large language models (LLMs) achieve higher accuracy on challenging reasoning tasks by scaling test-time compute through multiple trajectory sampling. However, standard aggregation methods like majority voting or individual confidence-based filtering... read more 
Machine Learning

Semantics-Aware Generative Latent Data Augmentation for Learning in Low-Resource Domains

arXiv Feb 2, 2026
Despite strong performance in data-rich regimes, deep learning often underperforms in the data-scarce settings common in practice. While foundation models (FMs) trained on massive datasets demonstrate strong generalization by extracting general-purpo... read more 
Machine Learning cs.AI

Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Room

arXiv Feb 2, 2026
Privacy preservation is a prerequisite for using video data in Operating Room (OR) research. Effective anonymization relies on the exhaustive localization of every individual; even a single missed detection necessitates extensive manual correction. H... read more 
Computer Vision and Pattern Recognition

Late-Stage Generalization Collapse in Grokking: Detecting anti-grokking with Weightwatcher

arXiv Feb 2, 2026
\emph{Memorization} in neural networks lacks a precise operational definition and is often inferred from the grokking regime, where training accuracy saturates while test accuracy remains very low. We identify a previously unreported third phase of g... read more 
Machine Learning

STEER: Inference-Time Risk Control via Constrained Quality-Diversity Search

arXiv Feb 2, 2026
Large Language Models (LLMs) trained for average correctness often exhibit mode collapse, producing narrow decision behaviors on tasks where multiple responses may be reasonable. This limitation is particularly problematic in ordinal decision setting... read more 
Artificial Intelligence cs.LG
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