Artificial Intelligence Medical Compendium

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

Showing 42,161 to 42,170 of 223,853 articles

Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation

arXiv Mar 13, 2026
A major challenge in autonomous driving is the "long tail" of safety-critical edge cases, which often emerge from unusual combinations of common traffic elements. Synthesizing these scenarios is crucial, yet current controllable generative models pro... read more 
Computer Vision and Pattern Recognition

Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives

arXiv Mar 13, 2026
Surrogate models provide compact relations between user-defined input parameters and output quantities of interest, enabling the efficient evaluation of complex parametric systems in many-query settings. Such capabilities are essential in a wide rang... read more 
Numerical Analysis cs.CE cs.LG

Explainable AI Using Inherently Interpretable Components for Wearable-based Health Monitoring

arXiv Mar 13, 2026
The use of wearables in medicine and wellness, enabled by AI-based models, offers tremendous potential for real-time monitoring and interpretable event detection. Explainable AI (XAI) is required to assess what models have learned and build trust in ... read more 
Signal Processing cs.LG

A protocol for evaluating robustness to H&E staining variation in computational pathology models

arXiv Mar 13, 2026
Sensitivity to staining variation remains a major barrier to deploying computational pathology (CPath) models as hematoxylin and eosin (H&E) staining varies across laboratories, requiring systematic assessment of how this variability affects model pr... read more 
Computer Vision and Pattern Recognition

Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning

arXiv Mar 13, 2026
Epileptic seizure forecasting is a clinically important yet challenging problem in epilepsy research. Existing approaches predominantly rely on neural signals such as electroencephalography (EEG), which require specialized equipment and limit long-te... read more 
Computer Vision and Pattern Recognition cs.LG

Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models

arXiv Mar 13, 2026
Reinforcement learning (RL) has become a standard technique for post-training diffusion-based image synthesis models, as it enables learning from reward signals to explicitly improve desirable aspects such as image quality and prompt alignment. In th... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.NE stat.ML

A theory of learning data statistics in diffusion models, from easy to hard

arXiv Mar 13, 2026
While diffusion models have emerged as a powerful class of generative models, their learning dynamics remain poorly understood. We address this issue first by empirically showing that standard diffusion models trained on natural images exhibit a dist... read more 
Machine Learning cond-mat.dis-nn cs.IT cs.LG

Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis

arXiv Mar 13, 2026
Neural Radiance Fields (NeRF) have shown remarkable success in image novel view synthesis (NVS), inspiring extensions to LiDAR NVS. However, most methods heavily rely on accurate camera poses for scene reconstruction. The sparsity and textureless nat... read more 
Computer Vision and Pattern Recognition

Stake the Points: Structure-Faithful Instance Unlearning

arXiv Mar 13, 2026
Machine unlearning (MU) addresses privacy risks in pretrained models. The main goal of MU is to remove the influence of designated data while preserving the utility of retained knowledge. Achieving this goal requires preserving semantic relations amo... read more 
Computer Vision and Pattern Recognition cs.AI

VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation

arXiv Mar 13, 2026
Accurate global localization is crucial for autonomous driving and robotics, but GNSS-based approaches often degrade due to occlusion and multipath effects. As an emerging alternative, cross-view pose estimation predicts the 3-DoF camera pose corresp... read more 
Computer Vision and Pattern Recognition
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