7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Mamba State-Space Models Are Lyapunov-Stable Learners
John T. Halloran, Manbir Gulati, Paul F. Roysdon
Mamba state-space models (SSMs) have recently outperformed state-of-the-art (SOTA) Transformer large language models (LLMs) in various tasks and been widely adapted. However, a maj…
cs.LG2023★ 7 cited
TabMT: Generating tabular data with masked transformers
Manbir S Gulati, Paul F Roysdon
Autoregressive and Masked Transformers are incredibly effective as generative models and classifiers. While these models are most prevalent in NLP, they also exhibit strong perform…