Artificial Intelligence Medical Compendium

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

Showing 17,151 to 17,160 of 213,726 articles

Canonical Regularisation of Wide Feature-Learning Neural Networks

arXiv May 18, 2026
Wide neural networks in the feature-learning regime drive modern deep learning, and yet they remain far less studied than their kernel-regime counterparts. We consider a critical yet under-explored difference between these two regimes: the regularise... read more 
Machine Learning cs.LG

Fixed External Cameras as Common Prior Maps for Active 3D Scene Graph Generation

arXiv May 18, 2026
Commonly available prior information, such as BIM models, floor plans, and remote sensing images, can provide valuable geometric and semantic context for autonomous robotic systems. In this paper, we treat observations from fixed external RGB cameras... read more 
Robotics cs.AI cs.CV

Best Segmentation Buddies for Image-Shape Correspondence

arXiv May 18, 2026
Finding correspondences is a fundamental and extensively researched problem in computer vision and graphics. In this work, we examine the underexplored task of estimating segmentation-to-segmentation correspondence between images in the wild and unte... read more 
Computer Vision and Pattern Recognition cs.GR

SIREM: Speech-Informed MRI Reconstruction with Learned Sampling

arXiv May 18, 2026
Real-time magnetic resonance imaging (rtMRI) of speech production enables non-invasive visualization of dynamic vocal-tract motion and is valuable for speech science and clinical assessment. However, rtMRI is fundamentally constrained by trade-offs a... read more 
Sound cs.CL cs.CV cs.LG physics.med-ph

A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders

arXiv May 18, 2026
This note studies exact constant collapse in variational autoencoders, where the encoder mean becomes independent of the input. The goal is to make this specific failure mode pre-designable, monitorable during training, and certifiable after training... read more 
Machine Learning cs.AI

Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning

arXiv May 18, 2026
Digital entities such as AI agents and humanoid robots increasingly operate alongside real humans, yet their identity infrastructure is based on credentials rather than embodied biometric identity. We introduce Biometric Identity Provisioning (BIP), ... read more 
Computer Vision and Pattern Recognition

CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook

arXiv May 18, 2026
Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scarcity, leading to suboptimal alignment spaces that overlook modality-un... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

arXiv May 18, 2026
Normalizing flows (NFs) provide exact likelihoods and deterministic invertible sampling, but have historically lagged behind diffusion models for large-scale image generation. We identify a key obstacle: NFs are required to learn a single invertible ... read more 
Computer Vision and Pattern Recognition

Collision-Resistant Single-Pass Method for Unsupervised Fine-Grained Image Hashing

arXiv May 18, 2026
Unsupervised fine-grained image hashing aims to learn compact binary codes that preserve subtle visual differences among highly similar instances without manual annotations. However, most existing methods neglect collision resistance, leading to iden... read more 
Computer Vision and Pattern Recognition

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering

arXiv May 18, 2026
Small vision-language models (2-8B) are well-suited for clin- ical deployment due to privacy constraints, limited connectivity, and low-latency requirements favouring on-device or on-premise inference. However, their limited capacity exacerbates the ... read more 
Computer Vision and Pattern Recognition cs.AI
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