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A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems


Oct 09, 2020
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan


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Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks


Jul 20, 2020
Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen


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Deep Graph Similarity Learning: A Survey


Dec 25, 2019
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu


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A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between


Aug 30, 2019
Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke


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Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging


Sep 11, 2018
Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig


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Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers


Sep 04, 2018
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke


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Learning Role-based Graph Embeddings


Jul 02, 2018
Nesreen K. Ahmed, Ryan Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry

* StarAI workshop @ IJCAI 2018 

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Inductive Representation Learning in Large Attributed Graphs


Nov 22, 2017
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry

* NIPS WiML 

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Segmenting Brain Tumors with Symmetry


Nov 17, 2017
Hejia Zhang, Xia Zhu, Theodore L. Willke

* NIPS ML4H Workshop 2017 

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A Framework for Generalizing Graph-based Representation Learning Methods


Sep 14, 2017
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry


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