#masked-autoencoder News & Analysis

3 articles tagged with #masked-autoencoder. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 236/10

🧠

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

Researchers propose CAMMST, a Masked Autoencoder framework that predicts gene expression from histology images by leveraging small amounts of spatial transcriptomics data as genetic anchors. The method combines visual and genetic modalities through contrastive learning, achieving superior performance with minimal transcriptomic coverage and addressing the cost limitations of spatial transcriptomics profiling.

AIBullisharXiv – CS AI · Jun 236/10

🧠

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks

Researchers present MedFedPure, a federated learning defense framework that protects medical AI models from adversarial attacks at inference time while preserving patient privacy. The system combines personalized federated learning, masked autoencoders for attack detection, and diffusion-based purification, achieving 87.33% robustness against strong attacks while maintaining 97.67% clean accuracy on brain MRI datasets.

AINeutralarXiv – CS AI · May 276/10

🧠

Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection

Researchers introduce CoAD, a novel framework for time series anomaly detection that combines classification and reconstruction methods to overcome limitations in existing deep learning approaches. By enabling these two paradigms to work cooperatively, the method achieves superior performance in detecting subtle anomalies while maintaining computational efficiency for real-time applications.