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2020 – today
- 2020
[b1]Hal James Cooper:
Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System. Columbia University, USA, 2020
2010 – 2019
- 2019
- [j1]Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal James Cooper, Min-hwan Oh, Sailung Yeung:
Corrections to "Learning Graph Topological Features via GAN". IEEE Access 7: 133600-133601 (2019) - [c4]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Deep Influence Diagrams: An Interpretable and Robust Decision Support System. BIS (1) 2019: 450-462 - [c3]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Personalized Product Recommendation for Interactive Media. IHSI 2019: 510-516 - 2018
- [c2]Scott W. Linderman, Gonzalo E. Mena, Hal James Cooper, Liam Paninski, John P. Cunningham:
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference. AISTATS 2018: 1618-1627 - [c1]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Interpretable Robust Decision Making. AAMAS 2018: 1912-1914 - [i2]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Attainment Ratings for Graph-Query Recommendation. CoRR abs/1808.05988 (2018) - 2017
- [i1]Weiyi Liu, Pin-Yu Chen, Hal James Cooper, Min Hwan Oh, Sailung Yeung, Toyotaro Suzumura:
Can GAN Learn Topological Features of a Graph? CoRR abs/1707.06197 (2017)
Coauthor Index
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