Artificial Intelligence Medical Compendium

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

Showing 54,561 to 54,570 of 226,183 articles

Origin Lens: A Privacy-First Mobile Framework for Cryptographic Image Provenance and AI Detection

arXiv Feb 3, 2026
The proliferation of generative AI poses challenges for information integrity assurance, requiring systems that connect model governance with end-user verification. We present Origin Lens, a privacy-first mobile framework that targets visual disinfor... read more 
Cryptography and Security cs.CV cs.CY cs.HC

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation

arXiv Feb 3, 2026
Multi-subject image generation aims to synthesize images that faithfully preserve the identities of multiple reference subjects while following textual instructions. However, existing methods often suffer from identity inconsistency and limited compo... read more 
Computer Vision and Pattern Recognition cs.AI

Score-based diffusion models for diffuse optical tomography with uncertainty quantification

arXiv Feb 3, 2026
Score-based diffusion models are a recently developed framework for posterior sampling in Bayesian inverse problems with a state-of-the-art performance for severely ill-posed problems by leveraging a powerful prior distribution learned from empirical... read more 
Machine Learning cs.LG stat.AP

Contextualized Visual Personalization in Vision-Language Models

arXiv Feb 3, 2026
Despite recent progress in vision-language models (VLMs), existing approaches often fail to generate personalized responses based on the user's specific experiences, as they lack the ability to associate visual inputs with a user's accumulated visual... read more 
Computer Vision and Pattern Recognition

ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression

arXiv Feb 3, 2026
Single-cell RNA-seq profiles are high-dimensional, sparse, and unordered, causing autoregressive generation to impose an artificial ordering bias and suffer from error accumulation. To address this, we propose scDiVa, a masked discrete diffusion foun... read more 
Machine Learning cs.AI q-bio.GN

DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications

arXiv Feb 3, 2026
Integrating logical knowledge into deep neural network training is still a hard challenge, especially for sequential or temporally extended domains involving subsymbolic observations. To address this problem, we propose DeepDFA, a neurosymbolic frame... read more 
Machine Learning cs.AI

Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance

arXiv Feb 3, 2026
Reasoning over table images remains challenging for Large Vision-Language Models (LVLMs) due to complex layouts and tightly coupled structure-content information. Existing solutions often depend on expensive supervised training, reinforcement learnin... read more 
Computer Vision and Pattern Recognition cs.CL

Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers

arXiv Feb 3, 2026
Recent DiT-based text-to-image models increasingly adopt LLMs as text encoders, yet text conditioning remains largely static and often utilizes only a single LLM layer, despite pronounced semantic hierarchy across LLM layers and non-stationary denois... read more 
Computer Vision and Pattern Recognition

Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation

arXiv Feb 3, 2026
Asynchronous pipeline parallelism maximizes hardware utilization by eliminating the pipeline bubbles inherent in synchronous execution, offering a path toward efficient large-scale distributed training. However, this efficiency gain can be compromise... read more 
Machine Learning cs.AI cs.DC

Interpretable Logical Anomaly Classification via Constraint Decomposition and Instruction Fine-Tuning

arXiv Feb 3, 2026
Logical anomalies are violations of predefined constraints on object quantity, spatial layout, and compositional relationships in industrial images. While prior work largely treats anomaly detection as a binary decision, such formulations cannot indi... read more 
Computer Vision and Pattern Recognition
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