Interpretable Neural Networks for Time Series Regression: A New Approach
Published:Dec 3, 2025 09:01
•1 min read
•ArXiv
Analysis
This research focuses on improving the interpretability of neural networks applied to time series data, a critical area for understanding and trusting AI predictions. The paper's approach of learning to mask and aggregate data offers a potentially valuable method for revealing the decision-making process within complex models.
Key Takeaways
Reference
“The research is sourced from ArXiv.”