1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
STREAM: A Universal State-Space Model for Sparse Geometric Data
Mark Schöne, Yash Bhisikar, Karan Bania +4
Handling sparse and unstructured geometric data, such as point clouds or event-based vision, is a pressing challenge in the field of machine vision. Recently, sequence models such…
cs.LG2023★ 1 cited
Efficient Real Time Recurrent Learning through combined activity and parameter sparsity
Anand Subramoney
Backpropagation through time (BPTT) is the standard algorithm for training recurrent neural networks (RNNs), which requires separate simulation phases for the forward and backward…