2 citations · 3 across the 2 of their papers we have counts for
4 papers
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Ramashish Gaurav, Bryan Tripp, Apurva Narayan
Spiking Neural Networks (SNNs) are an emerging domain of biologically inspired neural networks that have shown promise for low-power AI. A number of methods exist for building deep…
Active Perception and Representation for Robotic Manipulation
Youssef Zaky, Gaurav Paruthi, Bryan Tripp +1
The vast majority of visual animals actively control their eyes, heads, and/or bodies to direct their gaze toward different parts of their environment. In contrast, recent applicat…
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan +2
Modern approaches to grasp planning often involve deep learning. However, there are only a few large datasets of labelled grasping examples on physical robots, and available datase…
Convolutional Neural Networks Regularized by Correlated Noise
Shamak Dutta, Bryan Tripp, Graham Taylor
Neurons in the visual cortex are correlated in their variability. The presence of correlation impacts cortical processing because noise cannot be averaged out over many neurons. In…