Novel Approach to Multi-Modal Inference with Normalizing Flows
Published:Dec 4, 2025 16:22
•1 min read
•ArXiv
Analysis
This research introduces a method for amortized inference in multi-modal scenarios using likelihood-weighted normalizing flows. The approach is likely significant for applications requiring complex probabilistic modeling and uncertainty quantification across various data modalities.
Key Takeaways
Reference
“The article is sourced from ArXiv.”