Artificial Intelligence Medical Compendium

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

Showing 21,511 to 21,520 of 216,348 articles

Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance

arXiv May 7, 2026
We present EDDY (Exact-marginal Diversification via Divergence-free dYnamics), a guidance mechanism for diffusion and flow matching models that promotes diversity among samples generated while maintaining quality. EDDY exploits symmetries of the Fokk... read more 
Machine Learning

Feature Dimensionality Outweighs Model Complexity in Breast Cancer Subtype Classification Using TCGA-BRCA Gene Expression Data

arXiv May 7, 2026
Accurate classification of breast cancer subtypes from gene expression data is critical for diagnosis and treatment selection. However, such datasets are characterized by high dimensionality and limited sample size, posing challenges for machine lear... read more 
Machine Learning q-bio.GN

BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation

arXiv May 7, 2026
We introduce a new strategy for compositional neural surrogates for radiation-matter interactions, a key task spanning domains from particle physics through nuclear and space engineering to medical physics. Exploiting the locality and the Markov natu... read more 
Machine Learning hep-ph

DINORANKCLIP: DINOv3 Distillation and Injection for Vision-Language Pretraining with High-Order Ranking Consistency

arXiv May 7, 2026
Contrastive language-image pretraining (CLIP) suffers from two structural weaknesses: the symmetric InfoNCE loss discards the relative ordering among unmatched in-batch pairs, and global pooling collapses the visual representation into a semantic bot... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation

arXiv May 7, 2026
Modern sensors generate rich, high-fidelity data, yet applications operating on wearable or remote sensing devices remain constrained by bandwidth and power budgets. Standardized codecs such as JPEG and MPEG achieve efficient trade-offs between bitra... read more 
Image and Video Processing cs.LG cs.MM eess.AS eess.SP

Concept-Based Abductive and Contrastive Explanations for Behaviors of Vision Models

arXiv May 7, 2026
*Concept-based explanations* offer a promising approach for explaining the predictions of deep neural networks in terms of high-level, human-understandable concepts. However, existing methods either do not establish a causal connection between the co... read more 
Machine Learning cs.AI

GlazyBench: A Benchmark for Ceramic Glaze Property Prediction and Image Generation

arXiv May 7, 2026
Developing ceramic glazes is a costly, time-consuming process of trial and error due to complex chemistry, placing a significant burden on independent artists. While recent advances in multimodal AI offer a modern solution, the field lacks the large-... read more 
Artificial Intelligence cs.CV

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study

arXiv May 7, 2026
Despite the growing popularity of Multimodal Domain Generalization (MMDG) for enhancing model robustness, it remains unclear whether reported performance gains reflect genuine algorithmic progress or are artifacts of inconsistent evaluation protocols... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.MM

Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction

arXiv May 7, 2026
Fluorescent protein quantum yield (QY) is governed by the mature chromophore and its three-dimensional microenvironment rather than sequence identity alone. Protein language models and emission-band averages capture global trends, but do not model ho... read more 
Machine Learning

Relit-LiVE: Relight Video by Jointly Learning Environment Video

arXiv May 7, 2026
Recent advances have shown that large-scale video diffusion models can be repurposed as neural renderers by first decomposing videos into intrinsic scene representations and then performing forward rendering under novel illumination. While promising,... read more 
Computer Vision and Pattern Recognition
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