Artificial Intelligence Medical Compendium

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

Showing 34,801 to 34,810 of 221,633 articles

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

arXiv Apr 2, 2026
Generative models for crystalline materials often rely on equivariant graph neural networks, which capture geometric structure well but are costly to train and slow to sample. We present Crystalite, a lightweight diffusion Transformer for crystal mod... read more 
Machine Learning cs.AI

De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules

arXiv Apr 2, 2026
Regulatory documents encode legally binding obligations that LLM-based systems must respect. Yet converting dense, hierarchically structured legal text into machine-readable rules remains a costly, expert-intensive process. We present De Jure, a full... read more 
Artificial Intelligence cs.CL cs.LG

Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation

arXiv Apr 2, 2026
Recent multimodal large language models have achieved strong performance in unified text and image understanding and generation, yet extending such native capability to 3D remains challenging due to limited data. Compared to abundant 2D imagery, high... read more 
Computer Vision and Pattern Recognition cs.AI

AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging

arXiv Apr 2, 2026
Surface registration plays an important role for anatomical shape analysis in medical imaging. Existing surface registration methods often face a trade-off between efficiency and robustness. Local point matching methods are computationally efficient,... read more 
Computer Vision and Pattern Recognition math.OC

Beyond Referring Expressions: Scenario Comprehension Visual Grounding

arXiv Apr 2, 2026
Existing visual grounding benchmarks primarily evaluate alignment between image regions and literal referring expressions, where models can often succeed by matching a prominent named category. We explore a complementary and more challenging setting ... read more 
Computer Vision and Pattern Recognition

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation

arXiv Apr 2, 2026
Language models (LMs) are increasingly extended with new learnable vocabulary tokens for domain-specific tasks, such as Semantic-ID tokens in generative recommendation. The standard practice initializes these new tokens as the mean of existing vocabu... read more 
Computation and Language cs.AI cs.LG

Steerable Visual Representations

arXiv Apr 2, 2026
Pretrained Vision Transformers (ViTs) such as DINOv2 and MAE provide generic image features that can be applied to a variety of downstream tasks such as retrieval, classification, and segmentation. However, such representations tend to focus on the m... read more 
Computer Vision and Pattern Recognition cs.AI

Generative World Renderer

arXiv Apr 2, 2026
Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limited realism and temporal coherence of existing synthetic datasets. To bridge this persistent domain gap, we introduce a large-scale, dynamic dataset c... read more 
Computer Vision and Pattern Recognition

EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors

arXiv Apr 2, 2026
We propose EventHub, a novel framework for training deep-event stereo networks without ground truth annotations from costly active sensors, relying instead on standard color images. From these images, we derive either proxy annotations and proxy even... read more 
Computer Vision and Pattern Recognition

Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising

arXiv Apr 2, 2026
Diffusion and flow-based generative models have shown strong potential for image restoration. However, image denoising under unknown and varying noise conditions remains challenging, because the learned vector fields may become inconsistent across di... read more 
Computer Vision and Pattern Recognition
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