113 citations · 277 across the 15 of their papers we have counts for
5 papers · 1 filter
Dynamic Load Balancing for Compressible Multiphase Turbulence
Keke Zhai, Tania Banerjee, David Zwick +2
CMT-nek is a new scientific application for performing high fidelity predictive simulations of particle laden explosively dispersed turbulent flows. CMT-nek involves detailed simul…
Learning Permutations with Sinkhorn Policy Gradient
Patrick Emami, Sanjay Ranka
Many problems at the intersection of combinatorics and computer science require solving for a permutation that optimally matches, ranks, or sorts some data. These problems usually…
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
We develop three efficient approaches for generating visual explanations from 3D convolutional neural networks (3D-CNNs) for Alzheimer's disease classification. One approach conduc…
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami, Panos M. Pardalos, Lily Elefteriadou +1
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature. A popular and general way to formulate dat…
Global Model Interpretation via Recursive Partitioning
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
In this work, we propose a simple but effective method to interpret black-box machine learning models globally. That is, we use a compact binary tree, the interpretation tree, to e…