77 citations · 233 across the 52 of their papers we have counts for
4 papers · 1 filter
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks
Aditya Balu, Thanh V. Nguyen, Apurva Kokate +2
We introduce a new, systematic framework for visualizing information flow in deep networks. Specifically, given any trained deep convolutional network model and a given test image,…
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy +1
3D Convolutional Neural Networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object. However, interpreting the decision making process of thes…
Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang, Aditya Balu, Chinmay Hegde +1
There is significant recent interest to parallelize deep learning algorithms in order to handle the enormous growth in data and model sizes. While most advances focus on model para…
A Machine-Learning Framework for Design for Manufacturability
Aditya Balu, Sambit Ghadai, Gavin Young +2
this is a duplicate submission(original is arXiv:1612.02141). Hence want to withdraw it