#neural-processes News & Analysis

2 articles tagged with #neural-processes. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 126/10

🧠

Spectral Transformer Neural Processes

Researchers propose Spectral Transformer Neural Processes (STNPs), an enhanced machine learning architecture that improves how neural networks handle periodic and quasi-periodic data by incorporating frequency-domain analysis. The method addresses a key limitation of existing Neural Processes by embedding spectral information directly into transformer models, enabling better generalization beyond training data.

AIBullisharXiv – CS AI · Apr 206/10

🧠

Transformer Neural Processes - Kernel Regression

Researchers introduce Transformer Neural Process - Kernel Regression (TNP-KR), a scalable machine learning architecture that dramatically reduces computational complexity for neural processes from O(n²) to O(n_c) while maintaining or exceeding accuracy. The breakthrough enables processing of 100K context points with 1M+ test points on a single GPU, advancing the feasibility of neural processes for large-scale applications.