Artificial Intelligence Medical Compendium

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

Showing 55,471 to 55,480 of 226,647 articles

On Stability and Robustness of Diffusion Posterior Sampling for Bayesian Inverse Problems

arXiv Feb 2, 2026
Diffusion models have recently emerged as powerful learned priors for Bayesian inverse problems (BIPs). Diffusion-based solvers rely on a presumed likelihood for the observations in BIPs to guide the generation process. However, the link between like... read more 
Machine Learning

Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models

arXiv Feb 2, 2026
Modern Vision-Language Models (VLMs) exhibit a critical flaw in compositional reasoning, often confusing "a red cube and a blue sphere" with "a blue cube and a red sphere". Disentangling the visual and linguistic roots of these failures is a fundamen... read more 
Computer Vision and Pattern Recognition cs.AI

One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation

arXiv Feb 2, 2026
Advertising image generation has increasingly focused on online metrics like Click-Through Rate (CTR), yet existing approaches adopt a ``one-size-fits-all" strategy that optimizes for overall CTR while neglecting preference diversity among user group... read more 
Computer Vision and Pattern Recognition cs.AI

Rethinking Genomic Modeling Through Optical Character Recognition

arXiv Feb 2, 2026
Recent genomic foundation models largely adopt large language model architectures that treat DNA as a one-dimensional token sequence. However, exhaustive sequential reading is structurally misaligned with sparse and discontinuous genomic semantics, l... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

Reformulating AI-based Multi-Object Relative State Estimation for Aleatoric Uncertainty-based Outlier Rejection of Partial Measurements

arXiv Feb 2, 2026
Precise localization with respect to a set of objects of interest enables mobile robots to perform various tasks. With the rise of edge devices capable of deploying deep neural networks (DNNs) for real-time inference, it stands to reason to use artif... read more 
Robotics

ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning

arXiv Feb 2, 2026
Large multimodal reasoning models solve challenging visual problems via explicit long-chain inference: they gather visual clues from images and decode clues into textual tokens. Yet this capability also increases hallucinations, where the model gener... read more 
Computer Vision and Pattern Recognition cs.AI

UniDriveDreamer: A Single-Stage Multimodal World Model for Autonomous Driving

arXiv Feb 2, 2026
World models have demonstrated significant promise for data synthesis in autonomous driving. However, existing methods predominantly concentrate on single-modality generation, typically focusing on either multi-camera video or LiDAR sequence synthesi... read more 
Computer Vision and Pattern Recognition

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors

arXiv Feb 2, 2026
Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches leverage generalizable models to generate 3D scenes using 3D Gaussian Spl... read more 
Computer Vision and Pattern Recognition cs.AI

Leveraging Latent Vector Prediction for Localized Control in Image Generation via Diffusion Models

arXiv Feb 2, 2026
Diffusion models emerged as a leading approach in text-to-image generation, producing high-quality images from textual descriptions. However, attempting to achieve detailed control to get a desired image solely through text remains a laborious trial-... read more 
Computer Vision and Pattern Recognition

Enhancing Multi-Image Understanding through; Scaling

arXiv Feb 2, 2026
Large Vision-Language Models (LVLMs) achieve strong performance on single-image tasks, but their performance declines when multiple images are provided as input. One major reason is the cross-image information leakage, where the model struggles to di... read more 
Computer Vision and Pattern Recognition
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