154 citations · 266 across the 20 of their papers we have counts for
5 papers · 1 filter
Transformational Sparse Coding
Dimitrios C. Gklezakos, Rajesh P. N. Rao
A fundamental problem faced by object recognition systems is that objects and their features can appear in different locations, scales and orientations. Current deep learning metho…
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps
Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
We introduce Graph-Structured Sum-Product Networks (GraphSPNs), a probabilistic approach to structured prediction for problems where dependencies between latent variables are expre…
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video
Nancy Xin Ru Wang, Ali Farhadi, Rajesh Rao +1
Developing useful interfaces between brains and machines is a grand challenge of neuroengineering. An effective interface has the capacity to not only interpret neural signals, but…
Interactive Web Application for Exploring Matrices of Neural Connectivity
David J. Caldwell, Jing Wu, Kaitlyn Casimo +2
We present here a browser-based application for visualizing patterns of connectivity in 3D stacked data matrices with large numbers of pairwise relations. Visualizing a connectivit…
Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping
Jing Wu, Kaitlyn Casimo, David J. Caldwell +2
Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. We demonstrate that neural d…