Artificial Intelligence Medical Compendium

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

Showing 21,541 to 21,550 of 216,348 articles

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

Self Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale

arXiv May 7, 2026
Manually curated biomedical repositories -- spanning bioactivity, genomics, and chemistry -- are expensive to maintain, lag behind primary literature, and discard experimental context, obscuring nuances needed to assess data correctness and coverage.... read more 
Machine Learning

Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE

arXiv May 7, 2026
Modern cybersecurity relies heavily on static machine-learning-based malware classifiers. However, transformations such as packing and other non-semantic modifications applied to executable files limit their reliability. Malware classifiers often lea... read more 
Cryptography and Security cs.LG

Dr-BA: Separable Optimization for Direct Radar Bundle Adjustment & Localization

arXiv May 7, 2026
This paper introduces Dr-BA, a first-of-its-kind radar bundle adjustment (BA) framework that operates directly on 2D spinning radar intensity images. Unlike camera or lidar sensors, radar is largely unaffected by precipitation, making it a critical m... read more 
Robotics cs.CV

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series

arXiv May 7, 2026
Although tree species classification from Moderate Resolution Imaging Spectroradiometer (MODIS) time series data is critical for supporting various environmental applications, it is a challenging task due to several key difficulties: the subtle signa... read more 
Computer Vision and Pattern Recognition

An extremely coarse feedback signal is sufficient for learning human-aligned visual representations

arXiv May 7, 2026
Artificial neural networks trained on visual tasks develop internal representations resembling those of the primate visual system, a discovery that has guided a decade of computational neuroscience. Research on building brain-aligned models has progr... read more 
Computer Vision and Pattern Recognition

Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale

arXiv May 7, 2026
Despite the growing availability of large datasets, causal structure learning remains computationally prohibitive at scale. We revisit sparsest-permutation learning for linear structural equation models and show that exact Cholesky factorization is u... read more 
Machine Learning cs.LG

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing

arXiv May 7, 2026
Edge learning refers to training machine learning models deployed on edge platforms, typically using new data accumulated onboard. The computational limitations on edge devices affect not only model optimisation, but also calculation of the predictiv... read more 
Computer Vision and Pattern Recognition
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