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Dynamic Network Sampling for Community Detection


Aug 29, 2022
Cong Mu, Youngser Park, Carey E. Priebe

* 17 pages, 7 figures 

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The Value of Out-of-Distribution Data


Aug 23, 2022
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein

* To be presented as a short paper at the Out-of-Distribution Generalization in Computer Vision (OOD-CV) workshop, ECCV 2022, Tel Aviv, Israel 

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Deep Learning with Label Noise: A Hierarchical Approach


May 28, 2022
Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe

* 8 pages, 7 figures 

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ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images


Mar 17, 2022
Rajeev Yasarla, Carey E. Priebe, Vishal Patel


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Mental State Classification Using Multi-graph Features


Feb 25, 2022
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe


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Prospective Learning: Back to the Future


Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang


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Graph Matching via Optimal Transport


Nov 09, 2021
Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein


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Towards a theory of out-of-distribution learning


Oct 07, 2021
Ali Geisa, Ronak Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Jeffery Dick, Carey E. Priebe, Joshua T. Vogelstein


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Graph Encoder Embedding


Sep 27, 2021
Cencheng Shen, Qizhe Wang, Carey E. Priebe

* 8 pages + 6 pages appendix 

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