Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

1. 1Combine graph signal processing with Mamba2 language model
2. 2Utilize selective input gating and multi-head structure for parallel computation
3. 3Apply delta modulation to create an adaptive filter bank
4. 4Analyze the hierarchical structure of the filter bank for improved performance

This research benefits AI engineers and ML researchers working on language models and graph signal processing, as it provides a new approach to improve the efficiency and performance of these models

💡 Combining graph signal processing with Mamba2 can improve the efficiency and performance of language models

💡 Adaptive filter bank via delta modulation for Mamba2 language model