Artificial Intelligence Medical Compendium

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

Showing 21,841 to 21,850 of 216,627 articles

Streaming Adversarial Robustness in Fuzzy ARTMAP: Mechanism-Aligned Evaluation, Progressive Training, and Interpretable Diagnostics

arXiv May 7, 2026
Adversarial robustness has been studied extensively for offline deep networks, but less is known about strict single-pass streaming neural learners. This paper studies adversarial robustness in Fuzzy ARTMAP, an Adaptive Resonance Theory architecture ... read more 
Machine Learning

TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond

arXiv May 7, 2026
Human mobility differs from text and from generic time series in three structural ways: visits are tuple-valued events whose meaning depends on the joint distribution over location, time, and activity; users carry persistent signatures across traject... read more 
Machine Learning

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources

arXiv May 7, 2026
We present You Only Stack Once (YOSO), an automated pipeline designed to detect faint, slow-moving Solar System objects in wide-field astronomical surveys. The pipeline integrates a novel Gaussian Motion Filter (GMoF) that operates at the pixel level... read more 
Earth and Planetary Astrophysics astro-ph.IM cs.LG

Learned Lyapunov Shielding for Adaptive Control

arXiv May 7, 2026
We augment the Slotine--Li adaptive controller for Euler--Lagrange systems with three learned components: a structured-quadratic Lyapunov function \(V_ψ\) whose positive-definiteness follows from a Cholesky parameterization, a residual Soft Actor--Cr... read more 
Machine Learning

A Reproducible Optimisation Protocol for Calibrating Prompt-Based Large Language Model Workflows in Evidence Synthesis

arXiv May 7, 2026
This methods article presents a reproducible calibration workflow for prompt-based large language models (LLMs) in structured evidence-synthesis tasks. The method separates the rules that define the scientific task from the mutable prompt harness tha... read more 
Machine Learning

Causal-Aware Foundation-Model for Bilevel Optimization in Discrete Choice Settings

arXiv May 7, 2026
We introduce a causal aware foundation-model framework for real time optimal decision making in discrete choice environments. We propose a constrained triple-head price optimization (C3PO) network to solve a bilevel decision problem in which a servic... read more 
Machine Learning math.OC

Bringing Multimodal Large Language Models to Infrared-Visible Image Fusion Quality Assessment

arXiv May 7, 2026
Infrared-Visible image fusion (IVIF) aims to integrate thermal information and detailed spatial structures into a single fused image to enhance perception. However, existing evaluation approaches tend to over-optimize both hand-crafted no-reference s... read more 
Computer Vision and Pattern Recognition

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations

arXiv May 7, 2026
Multimodal self-supervised learning (MSSL) has emerged as a key paradigm for pretraining geospatial foundation models. However, existing geospatial MSSL methods are mainly designed for static pairs of modalities, such as satellite imagery, street-vie... read more 
Computer Vision and Pattern Recognition cs.LG

LensVLM: Selective Context Expansion for Compressed Visual Representation of Text

arXiv May 7, 2026
Vision Language Models (VLMs) offer the exciting possibility of processing text as rendered images, bypassing the need for tokenizing the text into long token sequences. Since VLM image encoders map fixed-size images to a fixed number of visual token... read more 
Computer Vision and Pattern Recognition cs.AI

FlashMol: High-Quality Molecule Generation in as Few as Four Steps

arXiv May 7, 2026
Generating chemically valid 3D molecular conformations is critical for computational drug discovery. Classical diffusion-based models like GeoLDM perform well but require hundreds of steps, making large-scale in silico screening impractical. Recent e... read more 
Machine Learning cs.AI
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