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Conference and Workshop Papers
- 2024
[c5]Matthew Bachstein
, Christopher Gropp, Victor Hazlewood, Gregory D. Peterson:
Lessons from Benchmarking the AI Tennessee Initiative Resources. PEARC 2024: 15:1-15:8- 2019
- [c4]Christopher Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon:
Clustered Latent Dirichlet Allocation for Scientific Discovery. IEEE BigData 2019: 4503-4511 - 2018
- [c3]Brandon Posey, Christopher Gropp, Boyd Wilson, Boyd McGeachie, Sanjay Padhi, Alexander Herzog, Amy W. Apon:
Addressing the Challenges of Executing a Massive Computational Cluster in the Cloud. CCGrid 2018: 253-262 - 2017
- [c2]Yuheng Du, Alexander Herzog, André Luckow, Ramu Nerella, Christopher Gropp, Amy W. Apon:
Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl. IEEE BigData 2017: 1418-1427 - [c1]Jason W. Anderson, Christopher Gropp, Linh Ngo, Amy W. Apon:
Random access in nondelimited variable-length record collections for parallel reading with Hadoop. IM 2017: 965-970
Informal and Other Publications
- 2021
- [i2]Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli:
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. CoRR abs/2102.11917 (2021) - 2016
- [i1]Chris Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon:
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA). CoRR abs/1610.07703 (2016)
Coauthor Index
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