1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Revisiting associative recall in modern recurrent models
Destiny Okpekpe, Antonio Orvieto
Despite the advantageous subquadratic complexity of modern recurrent deep learning models -- such as state-space models (SSMs) -- recent studies have highlighted their potential sh…
cs.CV2024★ 1 cited
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs
Nursena Köprücü, Destiny Okpekpe, Antonio Orvieto
Transformers have become dominant in large-scale deep learning tasks across various domains, including text, 2D and 3D vision. However, the quadratic complexity of their attention…