How AI is Learning to Read DNA and Sound
hackernoon.comAI models like Transformer++, HyenaDNA, and Mamba are pushing boundaries in DNA and audio modeling. Mamba shows competitive efficiency, but real-valued SSMs underperform complex-valued ones in audio tasks.
Table of Links
3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression
3.2 Improving SSMs with Selection
3.3 Efficient Implementation of Selective SSMs
3.4 A Simplifed SSM Architecture
3.5 Properties of Selection Mechanisms
4 Empirical Evaluation and 4.1 Synthetic Tasks
4.4 Audio Modeling and Generation
4.5 Speed and Memory Benchmarks
6 Conclusion, Acknowledgments and References
A Discussion: Selection Mechanism
B Related Work and B.1 S4 Variants and Derivatives
Copyright of this story solely belongs to hackernoon.com . To see the full text click HERE