Artificial Intelligence Medical Compendium

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

Showing 53,661 to 53,670 of 225,930 articles

Constrained Group Relative Policy Optimization

arXiv Feb 5, 2026
While Group Relative Policy Optimization (GRPO) has emerged as a scalable framework for critic-free policy learning, extending it to settings with explicit behavioral constraints remains underexplored. We introduce Constrained GRPO, a Lagrangian-base... read more 
Machine Learning cs.CL cs.RO

Constrained Group Relative Policy Optimization

arXiv Feb 5, 2026
While Group Relative Policy Optimization (GRPO) has emerged as a scalable framework for critic-free policy learning, extending it to settings with explicit behavioral constraints remains underexplored. We introduce Constrained GRPO, a Lagrangian-base... read more 
Machine Learning cs.CL cs.RO

Pathwise Test-Time Correction for Autoregressive Long Video Generation

arXiv Feb 5, 2026
Distilled autoregressive diffusion models facilitate real-time short video synthesis but suffer from severe error accumulation during long-sequence generation. While existing Test-Time Optimization (TTO) methods prove effective for images or short cl... read more 
Computer Vision and Pattern Recognition

Contour Refinement using Discrete Diffusion in Low Data Regime

arXiv Feb 5, 2026
Boundary detection of irregular and translucent objects is an important problem with applications in medical imaging, environmental monitoring and manufacturing, where many of these applications are plagued with scarce labeled data and low in situ co... read more 
Computer Vision and Pattern Recognition

EoCD: Encoder only Remote Sensing Change Detection

arXiv Feb 5, 2026
Being a cornerstone of temporal analysis, change detection has been playing a pivotal role in modern earth observation. Existing change detection methods rely on the Siamese encoder to individually extract temporal features followed by temporal fusio... read more 
Computer Vision and Pattern Recognition

Neural Implicit 3D Cardiac Shape Reconstruction from Sparse CT Angiography Slices Mimicking 2D Transthoracic Echocardiography Views

arXiv Feb 5, 2026
Accurate 3D representations of cardiac structures allow quantitative analysis of anatomy and function. In this work, we propose a method for reconstructing complete 3D cardiac shapes from segmentations of sparse planes in CT angiography (CTA) for app... read more 
Computer Vision and Pattern Recognition cs.AI cs.CE

CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression

arXiv Feb 5, 2026
Contrastive Language-Image Pre-training (CLIP) has achieved widely applications in various computer vision tasks, e.g., text-to-image generation, Image-Text retrieval and Image captioning. However, CLIP suffers from high memory and computation cost, ... read more 
Computer Vision and Pattern Recognition

Multi-Scale Global-Instance Prompt Tuning for Continual Test-time Adaptation in Medical Image Segmentation

arXiv Feb 5, 2026
Distribution shift is a common challenge in medical images obtained from different clinical centers, significantly hindering the deployment of pre-trained semantic segmentation models in real-world applications across multiple domains. Continual Test... read more 
Computer Vision and Pattern Recognition

Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching

arXiv Feb 5, 2026
Flow matching has recently emerged as a promising alternative to diffusion-based generative models, particularly for text-to-image generation. Despite its flexibility in allowing arbitrary source distributions, most existing approaches rely on a stan... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces

arXiv Feb 5, 2026
Sampling from a distribution $p(x) \propto e^{-\mathcal{E}(x)}$ known up to a normalising constant is an important and challenging problem in statistics. Recent years have seen the rise of a new family of amortised sampling algorithms, commonly refer... read more 
Machine Learning stat.ML
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