Mamba State-space Model
Research seminar, Machine Learning and Reasoning Chair, RWTH Aachen
Over the past summer at my home university, I participated in a research seminar at the Machine Learning and Reasoning chair involving Mamba, a recent state-space model. The experience sparked my interest in continuing to explore state-space models on music data. Since Mamba-variants can process extremely long sequences more efficiently than Transformers, it can be interesting to see how they handle long temporal dependencies in music data.