Artificial Intelligence Medical Compendium

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

Showing 49,881 to 49,890 of 224,814 articles

Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation

arXiv Feb 17, 2026
Day-to-night unpaired image translation is important to downstream tasks but remains challenging due to large appearance shifts and the lack of direct pixel-level supervision. Existing methods often introduce semantic hallucinations, where objects fr... read more 
Computer Vision and Pattern Recognition

Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching

arXiv Feb 17, 2026
Diffusion models often yield highly curved trajectories and noisy score targets due to an uninformative, memoryless forward process that induces independent data-noise coupling. We propose Adjoint Schrödinger Bridge Matching (ASBM), a generative mode... read more 
Computer Vision and Pattern Recognition

Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits

arXiv Feb 17, 2026
Robust classification in noisy environments remains a fundamental challenge in machine learning. Standard approaches typically treat signal enhancement and classification as separate, sequential stages: first enhancing the signal and then applying a ... read more 
Machine Learning

Logit Distance Bounds Representational Similarity

arXiv Feb 17, 2026
For a broad family of discriminative models that includes autoregressive language models, identifiability results imply that if two models induce the same conditional distributions, then their internal representations agree up to an invertible linear... read more 
Machine Learning cs.AI stat.ML

A Universal Neural Receiver that Learns at the Speed of Wireless

arXiv Feb 17, 2026
Today we design wireless networks using mathematical models that govern communication in different propagation environments. We rely on measurement campaigns to deliver parametrized propagation models, and on the 3GPP standards process to optimize mo... read more 
Information Theory eess.SP

On the Out-of-Distribution Generalization of Reasoning in Multimodal LLMs for Simple Visual Planning Tasks

arXiv Feb 17, 2026
Integrating reasoning in large language models and large vision-language models has recently led to significant improvement of their capabilities. However, the generalization of reasoning models is still vaguely defined and poorly understood. In this... read more 
Machine Learning cs.CV

Emergent Morphing Attack Detection in Open Multi-modal Large Language Models

arXiv Feb 17, 2026
Face morphing attacks threaten biometric verification, yet most morphing attack detection (MAD) systems require task-specific training and generalize poorly to unseen attack types. Meanwhile, open-source multimodal large language models (MLLMs) have ... read more 
Computer Vision and Pattern Recognition

RPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution

arXiv Feb 17, 2026
General-purpose super-resolution models, particularly Vision Transformers, have achieved remarkable success but exhibit fundamental inefficiencies in common infrared imaging scenarios like surveillance and autonomous driving, which operate from fixed... read more 
Computer Vision and Pattern Recognition cs.AI

LEADER: Lightweight End-to-End Attention-Gated Dual Autoencoder for Robust Minutiae Extraction

arXiv Feb 17, 2026
Minutiae extraction, a fundamental stage in fingerprint recognition, is increasingly shifting toward deep learning. However, truly end-to-end methods that eliminate separate preprocessing and postprocessing steps remain scarce. This paper introduces ... read more 
Computer Vision and Pattern Recognition

CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals

arXiv Feb 17, 2026
The ability to accurately perform counterfactual inference on time series is crucial for decision-making in fields like finance, healthcare, and marketing, as it allows us to understand the impact of events or treatments on outcomes over time. In thi... read more 
Machine Learning
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