77 citations · 89 across the 7 of their papers we have counts for
8 papers
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,…
Interpretable Deep Learning applied to Plant Stress Phenotyping
Sambuddha Ghosal, David Blystone, Asheesh K. Singh +3
Availability of an explainable deep learning model that can be applied to practical real world scenarios and in turn, can consistently, rapidly and accurately identify specific and…
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean
Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar +3
Charcoal rot is a fungal disease that thrives in warm dry conditions and affects the yield of soybeans and other important agronomic crops worldwide. There is a need for robust, au…
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
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data
Adedotun Akintayo, Soumik Sarkar
This paper proposes a hierarchical feature extractor for non-stationary streaming time series based on the concept of switching observable Markov chain models. The slow time-scale…