This is a running list of research papers and technical writing that I find useful. I’ll use it to record the main idea of each paper, why it matters, and questions worth revisiting.
Mamba: Linear-Time Sequence Modeling with Selective State Spaces — Albert Gu and Tri Dao (2024).
How input-dependent state space models combine selective memory with linear scaling, and how parallel scans make them practical on GPUs.
Each entry will include the paper, authors and year, a brief explanation of its central idea, and my own notes or questions.
Research papers and technical writing I am reading.