Artificial Intelligence Medical Compendium

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

Showing 18,451 to 18,460 of 214,278 articles

Training-Free Generative Sampling via Moment-Matched Score Smoothing

arXiv May 14, 2026
Diffusion models generate samples by denoising along the score of a perturbed target distribution. In practice, one trains a neural diffusion model, which is computationally expensive. Recent work suggests that score matching implicitly smooths the e... read more 
Machine Learning cs.LG

Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings

arXiv May 14, 2026
Comparative evaluation of multiple dynamic treatment policies is essential for healthcare and policy decisions, yet conventional longitudinal causal inference methods estimate each in isolation, preventing information sharing across counterfactuals. ... read more 
Machine Learning

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition

arXiv May 14, 2026
Machine unlearning in Vision-Language Models (VLMs) is typically performed at the image or instance level, making it difficult to precisely remove target knowledge without affecting unrelated semantics. This issue is especially pronounced since a sin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog

arXiv May 14, 2026
Remote sensing image generation provides a reliable data foundation for remote sensing large models and downstream tasks. However, existing controllable remote sensing image generation methods typically rely on traditional techniques such as segmenta... read more 
Computer Vision and Pattern Recognition

AIM-DDI: A Model-Agnostic Multimodal Integration Module for Drug-Drug Interaction Prediction

arXiv May 14, 2026
Drug-drug interaction (DDI) prediction is a critical task in computational biomedicine, as adverse interactions between co-administered drugs can cause severe side effects and clinical risks. A key challenge is unseen-drug generalization, where inter... read more 
Machine Learning cs.AI

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation

arXiv May 14, 2026
Text and faces are among the most perceptually salient and practically important patterns in visual generation, yet they remain challenging for autoregressive generators built on discrete tokenization. A central bottleneck is the tokenizer: aggressiv... read more 
Computer Vision and Pattern Recognition

IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model

arXiv May 14, 2026
In nighttime circumstances, it is challenging for individuals and machines to perceive their surroundings. While prevailing image restoration methods adeptly handle singular forms of degradation, they falter when confronted with intricate nocturnal s... read more 
Computer Vision and Pattern Recognition

AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors

arXiv May 14, 2026
Existing diffusion models have made significant progress in generating realistic images. However, their direct adaptation to remote sensing imagery often disregards intrinsic physical laws. This oversight frequently leads to spectral distortion and r... read more 
Computer Vision and Pattern Recognition

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel

arXiv May 14, 2026
Full-waveform inversion (FWI) estimates unknown parameters in the wave equation from limited boundary measurements. Recent advances in neural reparameterized FWI (NeurFWI) demonstrate that representing the parameters using a neural network can reduce... read more 
Geophysics cs.AI physics.comp-ph

Optimal Pattern Detection Tree for Symbolic Rule-Based Classification

arXiv May 14, 2026
Pattern discovery in data plays a crucial role across diverse domains, including healthcare, risk assessment, and machinery maintenance. In contrast to black-box deep learning models, symbolic rule discovery emerges as a key data mining task, generat... read more 
Machine Learning cs.AI math.OC
Popular Topics
Recent Journals