Artificial Intelligence Medical Compendium

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

Showing 53,651 to 53,660 of 225,930 articles

LeakBoost: Perceptual-Loss-Based Membership Inference Attack

arXiv Feb 5, 2026
Membership inference attacks (MIAs) aim to determine whether a sample was part of a model's training set, posing serious privacy risks for modern machine-learning systems. Existing MIAs primarily rely on static indicators, such as loss or confidence,... read more 
Artificial Intelligence

How to Achieve the Intended Aim of Deep Clustering Now, without Deep Learning

arXiv Feb 5, 2026
Deep clustering (DC) is often quoted to have a key advantage over $k$-means clustering. Yet, this advantage is often demonstrated using image datasets only, and it is unclear whether it addresses the fundamental limitations of $k$-means clustering. D... read more 
Machine Learning

ReText: Text Boosts Generalization in Image-Based Person Re-identification

arXiv Feb 5, 2026
Generalizable image-based person re-identification (Re-ID) aims to recognize individuals across cameras in unseen domains without retraining. While multiple existing approaches address the domain gap through complex architectures, recent findings ind... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Allocentric Perceiver: Disentangling Allocentric Reasoning from Egocentric Visual Priors via Frame Instantiation

arXiv Feb 5, 2026
With the rising need for spatially grounded tasks such as Vision-Language Navigation/Action, allocentric perception capabilities in Vision-Language Models (VLMs) are receiving growing focus. However, VLMs remain brittle on allocentric spatial queries... read more 
Computer Vision and Pattern Recognition cs.AI

Learning False Discovery Rate Control via Model-Based Neural Networks

arXiv Feb 5, 2026
Controlling the false discovery rate (FDR) in high-dimensional variable selection requires balancing rigorous error control with statistical power. Existing methods with provable guarantees are often overly conservative, creating a persistent gap bet... read more 
Methodology cs.LG eess.SP stat.ML

STProtein: predicting spatial protein expression from multi-omics data

arXiv Feb 5, 2026
The integration of spatial multi-omics data from single tissues is crucial for advancing biological research. However, a significant data imbalance impedes progress: while spatial transcriptomics data is relatively abundant, spatial proteomics data r... read more 
Artificial Intelligence

Principled Confidence Estimation for Deep Computed Tomography

arXiv Feb 5, 2026
We present a principled framework for confidence estimation in computed tomography (CT) reconstruction. Based on the sequential likelihood mixing framework (Kirschner et al., 2025), we establish confidence regions with theoretical coverage guarantees... read more 
Machine Learning stat.ML

NVS-HO: A Benchmark for Novel View Synthesis of Handheld Objects

arXiv Feb 5, 2026
We propose NVS-HO, the first benchmark designed for novel view synthesis of handheld objects in real-world environments using only RGB inputs. Each object is recorded in two complementary RGB sequences: (1) a handheld sequence, where the object is ma... read more 
Computer Vision and Pattern Recognition

Self-Supervised Learning with a Multi-Task Latent Space Objective

arXiv Feb 5, 2026
Self-supervised learning (SSL) methods based on Siamese networks learn visual representations by aligning different views of the same image. The multi-crop strategy, which incorporates small local crops to global ones, enhances many SSL frameworks bu... read more 
Computer Vision and Pattern Recognition

Visualizing the loss landscapes of physics-informed neural networks

arXiv Feb 5, 2026
Training a neural network requires navigating a high-dimensional, non-convex loss surface to find parameters that minimize this loss. In many ways, it is surprising that optimizers such as stochastic gradient descent and ADAM can reliably locate mini... read more 
Machine Learning
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